Category Archives: Regtech, Compliance, Governance

Retail Identity Verification: Stopping Return Fraud and Theft at the Point of Sale

March 29, 2026

Image Unsplash, Priscilla Du Preez

Image: Unsplash/Priscilla Du Preez

Retail shrinkage — the industry term for inventory loss through theft, fraud, and administrative error — costs global retailers hundreds of billions of dollars annually. Within that figure, return fraud has grown into one of the most consistently underestimated line items. Unlike shoplifting, which is immediately visible and operationally disruptive, return fraud is quiet. It enters through the customer service desk, processed by a staff member under time pressure, usually accepted to maintain a positive customer interaction, and absorbed as a cost of doing business. Organized retail crime operations have identified this as a reliable revenue stream, and the scale of exploitation has grown accordingly.

The technology capable of changing this dynamic is retail identity verification: a systematic process of confirming the identity of customers at specific transaction touchpoints — most critically the returns desk — using automated document scanning rather than relying on staff judgment or paper-based log systems. When a fraudulent returner knows their identity is captured and matched against a return history database, the economics of the fraud change. The deterrent effect operates before any individual transaction is evaluated, and the audit trail it creates enables pattern detection that no manual system can replicate at the speed or scale required.

What is also important here is that return fraud does not operate in isolation. The same individuals and organized groups responsible for fraudulent returns are frequently responsible for the theft that enables those returns. Stolen merchandise returned for cash or store credit creates a clean revenue cycle for organized retail crime. That’s why identity verification at the returns desk intercepts not just the return itself but the downstream incentive that makes the preceding theft financially worthwhile.

What Is Retail Identity Verification?

Retail identity verification is the practice of confirming a customer’s identity at a point-of-sale or service transaction using a machine-readable identity document. In the returns context specifically, it means capturing the returning customer’s name and identity document details — typically via OCR, or Optical Character Recognition, the technology that extracts text from photographed documents — and recording that data against the return transaction in the retailer’s system.

In other words, it replaces the manual alternative — a staff member writing a customer’s name and address on a paper return form, or typing it into a terminal — with an automated scan that is faster, more accurate, and creates a structured, searchable record. The identity data captured is not used to authorize or deny the individual transaction in isolation. Its value lies in the cumulative pattern it reveals: a single customer attempting multiple no-receipt returns across locations, or a rotating group of individuals returning the same high-value items across store clusters.

Apart from this, retail identity verification in the age-restricted sales context serves a different but related function. Capturing identity at the point of sale for alcohol, tobacco, vaping products, or lottery tickets creates a documented compliance record that protects the retailer in the event of a licensing inspection or underage sale allegation. Thanks to this, a single scanning infrastructure can serve both loss prevention and compliance functions simultaneously, reducing the cost per use case when deployed across a multi-function retail operation.

The most widely used document capture methods are MRZ reading — the Machine Readable Zone, a standardized two-line strip at the bottom of passports and many national identity cards — PDF417 barcode scanning from the reverse of driving licences, and front-of-card OCR for documents without machine-readable zones. A capable retail scanning solution should handle all three, covering the range of documents customers are likely to present across the retailer’s operating region.

The Return Fraud Problem: Why Manual Controls Have Failed

Understanding why manual return controls consistently fail is essential context for designing an effective automated alternative. The failure modes are structural, not simply the result of inadequate staff training.

The No-Receipt Return Exploit

The majority of return fraud operates through the no-receipt return pathway. Retailers offering goodwill returns without a receipt — a policy designed to serve legitimate customers who have lost their proof of purchase — inadvertently create a channel through which stolen merchandise can be converted to cash or credit without any connection to the original transaction. From a financial perspective, restricting no-receipt returns too aggressively damages customer satisfaction and increases returns friction for honest customers. Capturing identity at the no-receipt return point resolves the dilemma: the policy can remain customer-friendly while the identity record creates the accountability that deters systematic abuse.

Cross-Location Fraud Rings

Organized retail crime groups exploit the siloed nature of most retail loss prevention systems. An individual executing multiple returns at different store locations generates no alert in any single store’s records, even if their cumulative return volume is clearly abusive. Identity capture linked to a centralized return history database changes this dynamic entirely: the pattern that is invisible store-by-store becomes immediately visible at the network level. These mechanics boost the detection rate for organized cross-location fraud without requiring any change to individual store return policies.

Staff Judgment Under Transaction Pressure

Return desk staff are typically trained to prioritise customer experience and process transactions efficiently. Challenging a customer on a suspicious return requires judgment, confidence, and a willingness to create conflict — qualities that vary significantly across individuals and that diminish under queue pressure. Automated identity capture removes the judgment element: the scan is a standard part of the process applied to every return, not a discretionary challenge that a staff member must decide to initiate. This positively affects consistency and removes the interpersonal friction that causes staff to avoid challenging transactions they should be questioning.

When Retail Identity Verification Makes the Strongest Case

Identity verification at the point of sale delivers its strongest returns in specific retail contexts. Here’s when the investment is most clearly justified:

  • High-value electronics and consumer goods retail. Electronics, gaming equipment, power tools, and premium beauty products are the categories most targeted by organized return fraud, because their high unit value makes individual return transactions financially significant and their resale market is robust. Deploying identity verification at the returns desk for transactions above a defined value threshold — or for all no-receipt returns — concentrates the deterrent where the financial exposure is highest.
  • Multi-site retail chains with centralized loss prevention. The full value of identity verification in a return fraud context is only realized when identity data is aggregated centrally and cross-referenced across locations. A chain with a single store gains a deterrent effect; a chain with fifty locations gains a network-level detection capability that can identify cross-location fraud rings within days of their first transactions.
  • Age-restricted product categories. Alcohol, tobacco, vaping products, and lottery ticket retailers face dual compliance obligations: age verification at the point of sale and, in many jurisdictions, identity capture requirements tied to licensing conditions. A scanning infrastructure serving both functions delivers compliance value across both regulatory frameworks from a single integration point.
  • High-return-rate product categories. Clothing, footwear, and furniture categories with inherently high legitimate return rates are also disproportionately targeted by wardrobing fraud — the practice of purchasing an item, using it once, and returning it as unworn. Identity capture combined with return frequency analysis can identify individuals whose return patterns are statistically inconsistent with legitimate shopping behaviour across this category.

What a Reliable Retail Identity Verification System Should Have

When evaluating identity verification solutions for retail deployment, pay attention to the following criteria:

  1. Multi-format document reading capability. You should look for systems that read MRZ strips, PDF417 barcodes, and front-of-card OCR text, covering the full range of identity documents customers are likely to present across the retailer’s geographic footprint.
  2. On-device processing with no cloud image transmission. Document images contain personal data. The system should process captured document data locally, returning structured fields — name, date of birth, document number — without transmitting raw document images to external servers. This is both a data protection requirement and a practical security measure.
  3. Centralized return history database with cross-location matching. The detection value of identity verification in a return fraud context depends on centralizing return records and querying that database in real time at every scan. You should attentively analyze whether the vendor’s architecture supports multi-site data aggregation and whether the query latency is low enough to avoid adding visible delay to the return transaction.
  4. Configurable alert thresholds by return value and frequency. Not every return warrants the same response. The system should allow the retailer to configure alert triggers — a specific number of returns within a defined period, a cumulative return value threshold, or a combination — that generate a staff notification or supervisor escalation rather than applying uniform scrutiny to every scan.
  5. EPOS integration with minimal workflow disruption. Typical integrations include direct API connection to EPOS — Electronic Point of Sale — systems, tablet-based standalone operation for dedicated return desks, and SDK embedding within existing retail management applications. It will be helpful to confirm that the integration path does not require modifications to the EPOS that would affect the primary sales workflow.
  6. Data retention and privacy compliance documentation. Identity data captured at the returns desk is personal data subject to GDPR and equivalent frameworks. We recommend confirming the vendor’s data retention policy, the legal basis for processing, and their approach to data subject access requests before deployment, as these obligations fall on the retailer as the data controller.

How to Implement Identity Verification at the Returns Desk

Implementing identity verification in a retail returns workflow requires attention to three dimensions simultaneously: the technical integration, the operational process design, and the customer communication approach. Neglecting any one of these dimensions will limit the effectiveness of the others.

Image Unsplash, Simon Hattinga Verschure person wearing pink shirt typing on gray laptop computer on desk

Image Unsplash, Simon Hattinga Verschure

Define the Scan Policy Before Deployment

Before any technology is deployed, it is crucial to define precisely when identity capture is required: all returns without a receipt, all returns above a defined transaction value, all returns in specific high-risk product categories, or some combination. This policy decision shapes the entire implementation — the workflow design, the staff training, and the customer communication. We recommend starting with a narrowly defined scope — no-receipt returns above a value threshold — rather than attempting to capture identity on every return transaction from the outset, as this allows the team to refine the process before extending it.

Train Staff on the Customer Communication Script

The most operationally sensitive element of identity verification at the returns desk is not the technology — it is how staff present the requirement to customers. A customer who understands that identity capture is a standard policy applied consistently to all no-receipt returns is significantly more likely to comply without conflict than one who perceives it as a personal accusation. Staff training should include a specific, practiced script for introducing the scan request, handling common objections, and escalating to a supervisor when a customer refuses. It will be helpful to role-play these interactions during training rather than relying on written guidance alone.

Communicate the Policy Visibly at Return Points

Displaying clear signage at the returns desk indicating that identity may be required for no-receipt returns serves two functions simultaneously. First of all, it sets customer expectations before the interaction begins, reducing the likelihood of conflict when the scan is requested. Secondly, it functions as a deterrent in its own right: a fraudulent returner who sees that identity will be captured may elect not to proceed with the transaction before any staff interaction occurs. Given this, the signage itself delivers measurable loss prevention value at zero incremental operational cost.

Conclusion

Return fraud and organized retail theft are not problems that goodwill policies and staff vigilance can solve at scale. The economics favour the fraudster in any system where returns are processed on trust, where no identity record is created, and where pattern detection requires manual cross-referencing of paper logs. Retail identity verification changes those economics by creating a structured identity record at the transaction point, aggregating that data centrally, and making cross-location and cross-time patterns immediately visible to loss prevention teams.

See:  LinkedIn Identity Checks Show The New Privacy Cost Of Trust

The implementation investment is modest relative to the shrinkage it addresses. A well-deployed system pays for itself within the first promotional season it covers by reducing the no-receipt return abuse that concentrates around high-value product launches and seasonal promotions. Apart from this, the compliance value it delivers for age-restricted product categories converts what might otherwise be a single-purpose loss prevention tool into a shared infrastructure investment with returns across multiple operational functions. Given this, retailers evaluating their loss prevention strategy should treat identity verification at the returns desk not as a future consideration but as a near-term priority.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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NCFA Weekly Fintech Intelligence Mar 21-27, 2026

March 27, 2026 | NCFA Fintech Whisperer Weekly Intelligence | Digital Assets Blockchain And Tokenization, Regulation And Policy, Payments And Market Infrastructure, Risk Compliance And Regtech

Image Freepik, Data visualization signals

Image: Freepik

This live weekly NCFA intelligence page tracks financial technology developments that significantly affect how fintechs build, sell, raise capital, and operate under scrutiny. Coverage prioritizes Canada and includes global events that directly influence competitive conditions, market access, and execution realities across fintech sectors.  This page will be updated throughout the week with market movers in a live format and then each week we'll close the prior week's contents in prep for the upcoming week, and continue on a rolling basis.  (Missed prior week's Fintech Whisperer?  (December 6-12, 2025, December 13-19, 2025, January 1-9, 2026, January 10-16, 2026, January 17-23, 2026, January 24-30, 2026, January 31-February 6, 2026, February 7-13, 2026, February 14-20, 2026, February 21-27, 2026, February 28-March 6, 2026, March 7-13, 2026, March 14-20, 2026).

Weekly Fintech Market Intelligence Mar 21 - 27, 2026

Digital Assets, Blockchain And Tokenization

RBA Moves Tokenised Market Work Beyond Pilot Stage

Mar 25, 2026, Australia
  • Project Acacia covered tokenised bonds, repo, deposits, and funds with settlement using stablecoins, deposit tokens, wholesale CBDC, and ESA balances.
  • The RBA tested issuing wholesale CBDC onto external ledgers to examine cross-ledger settlement.
  • Next step is a longer sandbox focused on testing how tokenised money connects with existing systems such as RITS.

The RBA is moving past short pilots. The focus now is how tokenised money works with existing settlement systems and what holds up under real use.

Capital Markets And Funding

SEC Approves CAT Amendment Removing Online Query Tool

Mar 27, 2026, United States
  • The SEC approved a CAT amendment that removes references to the online targeted query tool from the CAT NMS Plan.
  • Regulators will continue to access CAT data through user defined direct queries and bulk extracts instead.
  • The earlier CAT cost savings amendment estimated $2.5 million to $3.5 million in savings from eliminating the online targeted query tool.

The SEC is narrowing one regulator facing CAT access path in the name of cost savings while keeping other query methods in place. That doesn't change trading rules, but it can change how efficiently regulators search market activity and build surveillance cases, and to that extent there are some concerns around reduced oversight.

CIRO Finalizes Fully Paid Securities Lending Rule Amendments

Mar 26, 2026, Canada
  • CIRO sets new rules and eligibility criteria for fully paid securities lending and financing arrangements.
  • All existing exemptions end on Apr 27, 2026, and dealer programs must comply with the updated framework.

Fully paid lending goes from exemption based programs to a standard rule set. Dealers need to update inventory funding structures and controls before the effective date.

US House Holds Tokenization Hearing On Capital Markets Modernization

Mar 25, 2026, United States
  • The U.S. House Financial Services Committee held a hearing on tokenization and the future of securities markets.
  • The hearing treated tokenization as a capital markets modernization issue rather than a niche digital asset topic.
  • Witnesses included DTCC, Nasdaq, SIFMA, Blockchain Association, and Plume Network.
  • The discussion put exchange infrastructure, market plumbing, and securities treatment into the same policy frame.

Tokenization is now being discussed inside the core U.S. capital markets policy process, with major market infrastructure and exchange voices at the table. That raises the odds that tokenized securities will be treated as a market structure question tied to trading, clearing, settlement, and custody, not only as a digital asset issue.

New York Stock Exchange And Securitize Sign MOU To Support Tokenized Securities

Mar 24, 2026, United States
  • New York Stock Exchange and Securitize agree to a memorandum of understanding focused on digital transfer agent infrastructure and broker dealer participation for issuer sponsored tokenized securities on an NYSE affiliated digital trading platform.
  • Securitize is named as the first digital transfer agent eligible to mint blockchain native securities for corporate or ETF issuers on the platform.
  • NYSE plans a digital transfer agent program intended to support on chain settlement of tokenized security transactions.
  • Securitize Markets is expected to become one of the broker dealer participants on the platform.

Lynn Martin, President, NYSE Group: “As we explore how tokenization can enhance capital markets, it is critical that new infrastructure is developed in a way that preserves the trust, transparency, and protections investors expect. Securitize brings deep experience in digital asset infrastructure and transfer agency, making them a strong partner in helping design this next generation of market structure.”

Payments And Market Infrastructure

RBI Sets Payments Vision 2028 With Fraud, Cross Border, And Switching Priorities

Mar 27, 2026, India
  • RBI’s Payments Vision 2028 sets the course through December 2028 under the theme “Shaping India’s Payment Frontier.”
  • The plan includes a shared responsibility framework for unauthorised digital payment fraud, a Cyber Key Risk Indicators framework for non bank payment system operators, and a review of cheque security and electronic cheques.
  • RBI also plans a review of the cross border payments framework, will examine a single window authorisation process under the PSS Act and FEMA, and will explore a Payments Switching Service to let customers switch providers more easily.

India is moving from payment expansion to payment control. Fraud liability, cyber resilience, cross border authorisation, and switching now sit closer to the centre of the next build cycle for banks, payment firms, and fintech infrastructure providers.

Visa Joins Canton Network To Support Private Onchain Payments

Mar 25, 2026, Global
  • Visa says it will join the Canton Network as a Super Validator, becoming the first major global payments company in the network’s validator group.
  • The move will support stablecoin payments, settlement, and treasury use cases for banks and financial institutions.
  • Canton is built to let institutions use shared blockchain infrastructure without exposing sensitive transaction data.
  • Stablecoin settlement activity is running at an annualized $4.6B and that it supports more than 130 stablecoin-linked card programs across more than 50 countries.

Visa is getting into the infrastructure layer. Privacy has been one of the main blockers for banks and large financial institutions using shared blockchain systems. If that barrier starts to fall, onchain payments, settlement, and treasury activity can move closer to core financial market infrastructure.

Bank of Canada Releases 2025 FMI Oversight Activities Annual Report

Mar 24, 2026, Canada
  • Bank of Canada publishes its Oversight Activities for Financial Market Infrastructures 2025 Annual Report covering designated clearing and settlement systems.
  • The notice highlights improvements designated FMIs made to risk management practices in 2025.
  • The notice also highlights ongoing and new expectations set by the Bank for designated FMIs in 2026 and beyond.

FMI oversight expectations set the operating floor for payments and clearing infrastructure, which can flow through to participant requirements, vendor controls, and resilience planning.

BMO Introduces Tokenized Cash Platform With CME And Google Cloud

Mar 24, 2026, Canada / United States
  • BMO says it is the first bank to offer CME Group’s tokenized cash solution on Google Cloud Universal Ledger.
  • The platform is designed to support 24/7 institutional movement of value for margin, collateral, trading, and settlement workflows.
  • Clients can convert dollars into a tokenized instrument for use with margined products at CME Group.
  • The platform also lays the groundwork for tokenized deposits to support broader payment and treasury use cases.

This brings tokenized cash into live institutional money movement. It's a major Canadian bank using tokenized cash to support real margin, collateral, and settlement flows on a continuous basis. Tokenized money is moving deeper into market infrastructure and gives regulated institutions a way to move value when markets need it 24/7, not only during banking hours.

Deloitte And Stablecorp Bring QCAD Into Canadian Bank Workflows

Mar 23, 2026, Canada
  • Deloitte Canada and Stablecorp announced an alliance to deploy QCAD-based stablecoin infrastructure with Canadian financial institutions.
  • The integration targets bank use cases including liquidity management, inter-bank clearing, cross-border payments, and treasury operations.
  • Deloitte positions QCAD as a Canadian-compliant stablecoin that can plug into existing banking systems and workflows.
  • The timing aligns with expected progress on Canada’s federal stablecoin framework and Bill C-15.

Deloitte and Stablecorp are building integration paths for financial institutions to use QCAD inside existing systems. The work targets clearing, treasury, and cross-border flows, but no deployments or pilots have been confirmed yet. Treat this as a signal that stablecoin infrastructure is being wired into bank workflows ahead of regulatory clarity.

Regulation and Policy

UMIR Guidance Update Project Reaches Completion

Mar 27, 2026, Canada
  • The UMIR Guidance Update Project reaches completion on Mar 27, 2026, pointing dealer members to updated guidance notes published across Phase 1 and Phase 2.
  • The package focuses on clarity and usability, with non material edits that improve accuracy and make guidance easier to find and apply.
  • A small subset of guidance notes does not get republished because they require material changes or no longer apply.

This closes a multi phase refresh and sets a new baseline for dealer compliance interpretation across UMIR topics, which can flow into policy mapping, training, and vendor rule logic.

Canada Expands Bank Of Canada Mandate To Stablecoins And Open Banking

Mar 26, 2026, Canada
  • Bill C-15 received Royal Assent and expands the Bank of Canada’s role in digital finance and payments.
  • The Bank will supervise stablecoin issuers and oversee the consumer-driven banking framework.

Bill C-15 puts stablecoins, payments, and consumer-driven banking under a more unified central bank structure. Firms now need to plan for supervision across digital money and data-sharing models, not treat them as separate tracks.

CIRO Sets Conditions For Dealer Access To Event Contracts

Mar 26, 2026, Canada
  • CIRO sets how its rules apply when dealers trade or facilitate event contracts and prediction markets.
  • Dealers must notify CIRO before offering these products and meet terms tied to authorization.
  • Contracts tied to elections or political events are not permitted, and products must meet defined restrictions including minimum term length.

Event contracts are now included in a defined Canadian dealer framework. Firms need to clear product design, compliance, and notification before going live.

FCA Sets Out Next Phase Of Smarter Regulation

Mar 26, 2026, United Kingdom
  • The roadmap targets faster authorisations using AI, including use of generative AI to review documents firms submit, with rollout across authorisations and supervision.
  • It also outlines a new sandbox environment to test automated data feeds between firms and the regulator, aimed at cutting manual work and improving timeliness and reliability of information.
  • The update includes a reporting burden reduction package that removes three regular data returns and reduces the frequency of another, plus a larger move of regulatory tasks into My FCA.
  • A linked 2026/27 perimeter report calls for modernisation of payments regulation to mitigate risks while supporting innovation.

AI assisted authorisations and automated reporting feeds can shorten approval timelines and change how supervision picks up issues from live data.

FCA Consults On Simplified Financial Advice To Expand Access

Mar 25, 2026, United Kingdom
  • FCA consults on changes intended to make it easier for firms to deliver simplified forms of individualized financial advice for consumers with more straightforward needs.
  • FCA proposes consolidating suitability expectations, clarifying flexibilities around using sufficient information, and changing how ongoing advice reviews work, including moving away from a fixed annual review toward periodic reviews based on client needs.
  • The consultation also opens a discussion on the future of trail commission and it states qualification standards and adviser charging rules remain unchanged.
  • FCA sets the consultation close date as May 22, 2026 and links the full consultation PDF CP26/10 Simplifying the Pensions and Investment Advice Rules

Sarah Pritchard, Deputy Chief Executive, Financial Conduct Authority: “We want to see more people getting supported, who aren’t currently, and a market that innovates and offers tailored services to meet differing consumer needs.”

CIRO Publishes Enforcement Document Production Guide

Mar 25, 2026, Canada
  • The Document Production Guide sets Enforcement Staff expectations for producing documents, records, and electronically stored information in response to a Request for Information issued under IDPC Rule 8100 or Mutual Fund Dealer Rule 6.
  • The guide takes effect May 1, 2026.
  • The guide frames preservation of data and metadata as part of maintaining integrity and reliability of records, and it aims to reduce clarification and resubmission cycles during investigations.

Dealers and fintech vendors that support eDiscovery, recordkeeping, surveillance, and investigation response workflows now have a clear CIRO baseline for data handling, metadata preservation, and production process design.

California Jury Opens A New Liability Lane For Addictive Platform Design

Mar 25, 2026, United States
  • A Los Angeles jury found Meta and Google liable for harming a 20 year old plaintiff through negligent platform design and failure to warn, awarding $6M in damages. Reuters reports Meta is responsible for 70% of the award and Google for 30%.
  • Reuters says the case serves as a bellwether for thousands of similar California state claims, while the related federal multidistrict litigation includes more than 2,400 lawsuits against social media companies over youth harm.
  • The ruling is important because the jury accepted a design based theory tied to engagement mechanics instead of treating the dispute only as a content moderation issue. That raises the pressure on recommendation loops, infinite scroll, autoplay, and similar retention features.
  • Pressure is building on a second front. On Mar 24, a New Mexico jury ordered Meta to pay $375M after finding it liable for misleading users about platform safety and endangering children. Reuters reports a second phase starts May 4 and could seek court ordered changes to Meta’s platforms.
  • Meta has already warned investors that a number of U.S. youth related trials are scheduled for 2026 and may result in a material loss, which puts this issue inside formal enterprise risk disclosure rather than public relations damage control alone.

Courts are beginning to test whether engagement led product design itself can create liability at scale. If that theory survives, the impact reaches beyond social media. Any digital product that depends on compulsive use patterns, especially where minors or vulnerable users are involved, faces legal scrutiny and compliance costs.

August 6 update: A New Mexico court ordered Meta to establish a US$567M abatement fund, bringing the financial remedies in the case to US$942M, and imposed youth-safety requirements covering age assurance, teen usage and notifications, adult-minor contact controls and AI-chatbot interactions involving minors. Meta plans to appeal.

CIRO Tightens Guidance On Third Party Electronic Market Access

Mar 24, 2026, Canada
  • CIRO issued guidance on third-party electronic access to marketplaces through direct electronic access, routing arrangements, and order execution services.
  • The note ties the guidance to UMIR Rules 6.2, 7.1, 7.13, and 10.16, covering order identifiers, trading supervision, direct electronic access, and gatekeeper obligations.
  • CIRO says the framework addresses risks tied to electronic access, including liability, credit, market integrity, sub-delegation, technology or systems, and regulatory arbitrage.
  • The guidance also gives examples on order identification and designation, including use of the jitney marker, and highlights changes affecting order execution services, direct electronic access, and routing arrangements.

As more execution flows move through automated and intermediated channels, CIRO is making it clearer who is responsible, how orders must be marked, and what supervision has to look like. That raises the operating standard for dealers, trading desks, legal and compliance teams, and firms providing marketplace access. Electronic access remains open, but responsibility for supervision, order marking, and control cannot blur as more parties exist between the client and the marketplace.

Bipartisan Senate Bill Targets Sports Prediction Contracts

Mar 23, 2026, United States
  • Senators Adam Schiff and John Curtis introduced the Prediction Markets Are Gambling Act to prohibit CFTC registered entities from listing contracts that resemble sports bets or casino style games.
  • The press release says a March Madness winner contract has already exceeded $100 million in trading volume and Super Bowl prediction market volume topped $1 billion in 2026.
  • The bill argues these contracts are being offered in all 50 states, including states that restrict or prohibit sports betting.
  • The proposal would remove ambiguity in the Commodity Exchange Act and push sports style event contracts back under state gambling control rather than federal derivatives oversight.

This raises the risk that sports prediction markets face a direct statutory limit before the category settles into a stable regulatory path. Congress is now testing whether these contracts belong inside federal market infrastructure or back inside state gambling rules. Important for exchanges, prediction market operators, legal teams, and investors betting on event contracts as a durable product category.

AI Finance And Data Governance

US Treasury Launches AI Innovation Series For Financial Stability

Mar 23, 2026, United States
  • Treasury says the Office of the Financial Stability Oversight Council and Treasury’s Artificial Intelligence Transformation Office launched an AI Innovation Series, described as a public private initiative focused on financial system strength and resilience.
  • The series will run across four roundtables that convene financial institutions, technology firms, regulators, and specialized experts to focus on high value AI use cases and practical approaches for scaling AI while preserving safety and soundness.
  • Treasury frames AI adoption as increasingly embedded across fraud detection, cybersecurity, credit underwriting, and operational risk management, and it links the series to how governance and supervisory approaches keep pace with enterprise AI deployment.

This series puts AI governance in focus for banks and fintechs, especially around model risk, cybersecurity controls, and how supervisors assess AI driven decisioning inside core workflows.

Banking And Credit

China Pushes Blockchain In Bank Tax Lending Model

Mar 27, 2026, China
  • China’s State Taxation Administration and National Financial Regulatory Administration jointly told local tax authorities and banks to deepen the bank tax interaction model and encouraged the use of blockchain and privacy computing for compliant innovation.
  • The notice tells banks to improve credit models, raise loan approval efficiency, and expand financing support for compliant taxpayers, especially small businesses.
  • An official explainer says the bank tax interaction mechanism had delivered 45.1772 million loans totalling 15.7 trillion yuan by the end of 2025.

China is using tax data, regulated data sharing, and specific technologies to push more SME credit through banks. That is a lending infrastructure signal, not just a blockchain headline.

Conclusion

Regulators are setting clearer boundaries, and infrastructure is moving into production at the same time. That combination raises the cost of getting it wrong and shortens the window to get it right. Teams need working controls, real vendor oversight, and systems that hold up under load before scaling anything customer facing. NCFA offers various curated resources to help founders and investors stay current on developments that impact fintech markets, subscribe to NCFA weekly newsletter updates, view a rundown of current fintech news and insights, or dive into the latest fintech industry research.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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McKinsey AI Vulnerability Reveals Enterprise Risk

Mar 26, 2026 | NCFA Insight | Artificial Intelligence And Data

AI Image laptop with confidential access

Internal AI Security Gaps Expose Real Operational Risk

On March 1, 2026, CodeWall, a security research firm focused on AI systems, privately reported security gaps to McKinsey. The firm said its agent found 22 unauthenticated endpoints, then chained a SQL injection issue and other weaknesses to gain read and write access across the production environment. CodeWall said the reachable data included 46.5 million chat messages, 728,000 files, 57,000 user accounts, 384,000 AI assistants, and 94,000 workspaces. It also said prompts, model configurations, and RAG related data were reachable.

On March 2, 2026, McKinsey acknowledged the findings and patched the unauthenticated endpoints the same day.

On March 9, 2026, CodeWall publicly shared research on vulnerabilities in McKinsey’s internal AI platform Lilli.

On March 11, McKinsey released this statement about the vulnerability and that a third party forensic review found no evidence that unauthorized parties accessed client data or client confidential information.

What Actually Happened

Public API documentation appears to have exposed a map of the system. Some endpoints reportedly required no authentication. One of them allegedly allowed database manipulation through JSON keys, which opened the door to SQL injection. From there, CodeWall said it could determine live production data and reach much deeper parts of the platform.

This incident doesn't point first to a model failure. It points to ordinary application security weaknesses around an AI system that had become deeply embedded in internal work.

McKinsey’s Response and What It Means

McKinsey didn't confirm the full scale of the researcher claims. Instead, it focused on the response. The company said it fixed the issue quickly and found no evidence that unauthorized parties accessed client data or client confidential information.

See:  OSFI and GRI Workshops Reveal What Regulated AI Needs

Having said that, the reported scale of reachable internal material was large enough to raise questions about internal knowledge exposure, employee work patterns, and intellectual property concentration in one system.

CodeWall said prompt and configuration layers were reachable. If true, it means a bad actor could have potentially altered how the system retrieves information or generates answers. In an internal AI tool, that can create wrong outputs that look normal to staff.

That's where this type of incident becomes more useful for fintechs and financial firms. A publicly visible outage gets noticed whereas quietly altered outputs may not. In regulated environments, that can affect approvals, reviews, client treatment, policy interpretation, and internal decision support before anyone spots the pattern.

The Wider Lesson For Financial Services

Banks, lenders, insurers, wealth firms, and fintechs are building similar internal AI layers right now. They connect those tools to policy documents, research, support logs, internal files, and customer related workflows because it saves time and helps staff move faster.

See:  Gilles Brassard Turing Award Puts Quantum Security In Focus

But that convenience comes with risk given that AI often pulls sensitive access into one place. If permissions are weak, endpoints are exposed, or prompt controls aren't protected, one internal tool can become a wider point of failure.

A key lesson founders and operators should take from this case, is to ask whether the application around it is locked down, whether prompts and retrieval rules are treated as sensitive assets, whether permissions are tight, and whether anyone has tested the system the way an attacker would.

Conclusion

Enterprise AI doesn't erase old security mistakes. It can magnify them by concentrating data, access, and trust inside a single interface.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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Why MGA Licensed Casinos Are Popular Among Canadian Players

March 26, 2026

There has been considerable discussion in recent years about gaming licenses from the Malta Gaming Authority (MGA) and whether they still hold value in an increasingly regulated world. With Canada’s provincial markets moving toward their own regulatory frameworks, some players question whether this license matters anymore. The possibility of more provinces following Ontario’s lead and introducing their own licensing systems has led some to believe that international MGA licenses will soon become unnecessary for Canadian players.

However, the reality is more nuanced. In practice, MGA licensed casinos remain some of the most commonly used and trusted platforms among Canadian players. For those looking into their options, websites like MGAcasinos.ca are dedicated to helping players find the best MGA casino sites in Canada. This website offers a list of online casinos that have a proven track record of player protection, fair gaming standards, and high-quality gaming features.

In this article, we’ll take a closer look at why the MGA license still holds strong value in the Canadian market and why so many players continue to prefer it across Canada.

What Is the Malta Gaming Authority?

The MGA is the government body responsible for regulating gambling in Malta. It was established in 2001, and Malta became one of the first countries in the European Union to formally regulate online gaming back in 2004. That head start gave the regulator decades to build out one of the most respected licensing frameworks in the industry.

It operates under Malta’s Gaming Act, which came into full effect in August 2018 after a major overhaul of the country’s gambling laws. Today, it oversees both land-based and online operators, sets the standards they must follow, and has the authority to issue fines, suspend licenses, or cancel them altogether when operators fall short.

What sets the MGA apart from lesser-known licensing bodies is the level of scrutiny involved. Operators must pass background checks, demonstrate financial stability, meet technical requirements, and implement responsible gambling measures before they can receive a license.

Ongoing compliance is expected, not just during the application stage. In practice, this means licenses are not automatically renewed. Recent figures reported by Next.io show that multiple operators applied for renewals, and not all were approved, reflecting the regulator’s continued oversight and willingness to deny extensions where standards are not met.

Reasons Canadians Play at MGA Casinos

Canadian players have a lot of options when it comes to online gambling, but MGA licensed casinos consistently stand out. The reasons go beyond simply being internationally licensed. Here’s a clear breakdown of why these platforms are so popular among Canadian players:

1. Access Beyond Provincial Boundaries

Outside Ontario, most Canadian provinces don’t have fully regulated markets for private online casinos. Provincial lottery corporations offer their own platforms, but these options are limited. Additionally, most provinces haven’t established a licensing system for private operators.

As a result, many players turn to internationally licensed sites for more choice and flexibility. This is why Canadian players frequently encounter MGA licensed casinos, as these platforms are widely available and well-established, making them a natural choice for players seeking quality online gaming.

2. Trusted Regulatory Oversight

The MGA has been around for many years now and is well known among online casino players in Canada. This long presence has helped build familiarity and trust, so many players already recognise what to expect from it. Because of that, these licensed casinos are often preferred over other jurisdictions, not just for compliance reasons, but because players feel confident using platforms they already know.

3. Player Protection Measures

Licensed casinos under the MGA have to follow strict player protection rules designed to keep players safe. This includes:

  • Responsible gambling tools: deposit limits, wagering/loss/session limits, and self-exclusion options.
  • Secure transactions: player funds are kept in segregated accounts, separate from casino operating funds.
  • Dispute resolution: clear complaint processes and independent Alternative Dispute Resolution (ADR) options.
  • Fair gaming audits: independent testing and certified random number generators ensure that every game is fair.

4. Wide Game Selection and Software Quality

MGA casinos partner with some of the biggest software providers in the industry, including NetEnt, Microgaming, and Evolution Gaming. This means Canadian players have access to thousands of high-quality slot titles, table games, and live dealer experiences. The variety and innovation available at these casinos often surpass what provincial platforms can offer.

5. Flexible Payment Options

Canadian players benefit from a wide range of payment methods at MGA casinos, including:

  • Interac (widely used across Canada)
  • Credit and debit cards
  • E-wallets like Skrill and Neteller
  • Cryptocurrencies on some platforms

Withdrawals are often faster, and the variety ensures players can deposit and play in ways that are convenient and secure.

6. Attractive Bonuses and Promotions

MGA casinos are known for offering competitive welcome bonuses, free spins, cashback, and loyalty programs. Compared to provincial platforms, these promotions are generally more varied, giving players extra value and incentives to try new games.

7. Long-Term Operator Commitment

Many MGA licensed casinos are run by established international brands that seek long-term growth rather than short-term profits. Because the MGA is a highly respected regulator, this attracts reputable companies, which in turn gives Canadian players access to stable, trustworthy platforms. For players, this means these casinos are less likely to disappear suddenly and more likely to offer consistent service, fair games, and reliable payouts over time.

How Canadian Players Can Identify an MGA Licensed Casino

The MGA makes it straightforward to verify whether a casino actually holds a valid license. Here is how to check:

  • Look at the footer - Legitimate MGA licensed casinos display their license information at the bottom of the page, usually including the license number and a small MGA logo.
  • Use the MGA's public register - The authority maintains an online licensee register at org.mt, where anyone can search for an operator by name or license number. If a casino claims to be MGA licensed but doesn't appear in that register, that's a serious red flag.
  • Check for responsible gambling links - Licensed sites are required to display responsible gambling information and links to support organisations. If a site has no mention of responsible gambling tools, that's worth paying attention to.
  • Look for the Alternative Dispute Resolution (ADR) details - Operators must make their complaints process visible to players, including information about which ADR entity handles disputes. If that information is buried or absent, it may indicate the site isn't fully compliant.

Conclusion

The Malta Gaming Authority has built a reputation as one of the more rigorous online gaming regulators in the world, and that is why Canadian players frequently encounter MGA licensed casinos when looking for options outside provincial platforms.

See: Stablecoins Power Prediction Market Settlement

These casinos offer Canadian players a winning combination of safety, fairness, and variety. With strict regulatory oversight, secure transactions and protections for players, it is no wonder these casinos are so popular. Whether you are a casual gamer or a high-stakes player, exploring MGA licensed platforms can help you find trusted options and enjoy peace of mind while playing.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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Prediction Markets Tighten As Wealthsimple Enters

Mar 25, 2026 | NCFA Insight | Regulation And Policy, Capital Markets And Market Infrastructure

AI image Prediction markets face regulatory pressure

Rules, Product Limits, And A Narrower Canadian Lane

Sports volume built the business. Now rules, surveillance, and product limits will decide who lasts. On March 23, 2026, a bipartisan Senate bill moved to ban sports and casino style contracts on CFTC registered prediction market venues. The Senate release said a March Madness winner contract had already passed $100M in trading volume and that Super Bowl prediction market volume topped $1B in 2026.

Those numbers explain why prediction markets are now under direct pressure from lawmakers. Prediction markets are no longer fringe. They now sit in a fight over who regulates them, which contracts stay allowed, and whether the business still works under tighter rules.

Why Sports Contracts Triggered The Fight

Sports helped prediction markets reach a wide audience fast, but that same growth put them in direct competition with state regulated sportsbooks and tribal gaming interests. The Prediction Market Senate bill to ban sports contracts is aimed straight at that overlap. It would prohibit any CFTC registered entity from listing contracts that closely resemble a sports bet or a casino style game. If it advances, sports contracts would be the first part of the business to take a hit. That in itself wouldn't kill prediction markets, but it would force a reset around contracts that look more like economic, financial, or commercial forecasting and less like entertainment wagering.

Sports contracts brought scale, attention, and league partnerships. NCFA looked at that earlier when the NHL partnered with Kalshi and Polymarket. Sports now look like the part of the business most likely to trigger a stronger federal and state response.

Why Platforms Tightened Rules Now

Polymarket and Kalshi tightened their controls on the same day. On March 23, Polymarket tightened its market integrity rules across both its DeFi venue and its CFTC regulated US exchange. The updated rules ban trading on stolen confidential information, illegal tips, and outcomes a trader can influence.

Kalshi added candidate and athlete trading bans covering political candidates, athletes, referees, coaches, and team staff, and introduced a whistleblower feature to tighten insider risk controls.

These aren't minor changes. They prove Kalshi and Polymarket understand that insider risk is now a live issue. Prediction markets want to be treated as financial infrastructure, but financial infrastructure has to show it can police insiders, document rules, and respond fast when abuse appears. NCFA covered that tension earlier when prediction markets started pricing geopolitical events.

Canada Is Drawing A Different Line

Canada is taking a narrower approach. The Globe and Mail reported today that Wealthsimple cleared a regulatory hurdle to offer forecast contracts in Canada, but only for economic indicators, financial markets, and climate trends. Sports and election contracts are out. Wealthsimple is the second firm to receive this approval in Canada, after Interactive Brokers Canada.

Interactive Brokers Canada has positioned contracts around government, economic, finance, and climate events, not sports books in a different wrapper. The product is already live in Canada on that basis.

Wealthsimple now brings local retail distribution, stronger brand reach, and a better chance of testing whether forecast contracts can find a market here without leaning on the sports volume that pushed the US fight into the open.

What This Means For Business Models

Can a prediction market still grow once sports contracts face a ban, insider screening gets tighter, and compliance costs rise? Some firms may adapt by leaning into macro, rates, inflation, climate, earnings, and other information markets. Others may find that the most profitable contracts were also the ones most likely to trigger a crackdown.

See:  Kalshi Fines MrBeast Editor In Insider Trading Case

The CFTC is also reviewing the rules. On March 12 2026, the CFTC opened an Advance Notice of Proposed Rulemaking on prediction markets and asked for public comment on which event contracts may be contrary to the public interest, how current rules apply, and what changes may be needed. That means this fight is not limited to one Senate bill or one week of headlines. The federal rule in the U.S. is now under review.

For Canadian dealers, fintechs, and market operators, there is room to build forecast products here, but the lane is narrower than in the US.

Insight

Prediction markets  already proved they can attract users and volume. The next test is whether prediction markets can still grow once product limits tighten, regulators draw a harder line around what is allowed, and compliance demands rise.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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RRSP vs TFSA: Which Is Right for You? | PsyFi

March 24, 2026

RRSP vs TFSA Which is right for you

If you're a high-earning Canadian trying to build wealth, you've likely been told to "max out your RRSP" or "use your TFSA first." The advice often sounds definitive - but rarely accounts for your actual situation. Both accounts offer powerful tax advantages, yet they work in fundamentally different ways. Choosing between them isn't just a tax question; it's a behavioral and strategic one that depends on your income trajectory, spending patterns, and psychological relationship with money.

Understanding how RRSPs and TFSAs actually function - and how your brain responds to each - can help you make smarter decisions that stick.

How each account works: the basics

The Registered Retirement Savings Plan (RRSP) is a tax-deferred account. Contributions reduce your taxable income in the year you make them, and your investments grow tax-free inside the account. You pay tax only when you withdraw, ideally in retirement when your income - and tax rate - are lower. For 2024, the contribution limit is 18% of your previous year's earned income, up to $31,560. [1]

The Tax-Free Savings Account (TFSA) works differently. You contribute with after-tax dollars - no immediate deduction - but all growth and withdrawals are completely tax-free, forever. The 2024 contribution limit is $7,000, with cumulative room of $95,000 if you've been eligible since the TFSA launched in 2009. [2]

Both accounts shelter investment gains from annual taxation, which is their shared superpower. The difference lies in when you pay tax and how withdrawals affect your future finances.

The tax math: Why your marginal rate matters

The classic rule of thumb: if your tax rate is higher now than it will be in retirement, the RRSP wins. If your rate will be the same or higher later, the TFSA is better. [3]

For high earning $150,000+ in provinces like Ontario, the combined federal-provincial marginal rate can exceed 43%. [4] An RRSP contribution at that rate delivers an immediate, substantial tax refund. If you withdraw in retirement at a 30% rate, you've effectively earned a permanent tax arbitrage.

But here's where it gets nuanced. RRSP withdrawals count as income, which can trigger clawbacks of Old Age Security (OAS) benefits and affect other income-tested programs. The OAS recovery tax kicks in once your income exceeds approximately $90,000, reducing benefits by 15 cents for every dollar over the threshold. [5]

TFSA withdrawals, by contrast, are invisible to the tax system. They don't affect OAS, GIS, or any means-tested benefit. For retirees who want flexibility and predictability, this can be worth more than the upfront RRSP deduction. [6]

The behavioral side: Why psychology complicates the decision

Tax optimization assumes you'll actually invest the RRSP refund - not spend it. Research on windfall spending shows that unexpected money, including tax refunds, is often treated as "found money" and spent rather than saved. [7]

If you contribute $10,000 to your RRSP and receive a $4,000 refund, the math only works if that $4,000 goes back into investments. If it funds a vacation or lifestyle upgrade, you've diluted the RRSP's advantage significantly.

There's also the mental accounting problem. Behavioral research shows that people treat money differently depending on which "mental account" it sits in. [8] RRSP funds feel locked away (and largely are, due to withholding taxes on early withdrawal), which can be protective. TFSA funds feel more accessible, which can lead to premature withdrawals for non-emergencies.

Research from the Financial Consumer Agency of Canada found that many TFSA holders use their accounts primarily for short-term savings rather than long-term investing - missing the compounding benefits the account was designed for. [9]

A practical framework for deciding

Rather than treating this as an either/or question, most HENRYs benefit from using both accounts strategically. Here's a simplified decision framework:

Prioritize RRSP when: your marginal tax rate is high (above 40%), you're confident your retirement rate will be lower, and you have the discipline to reinvest the refund. Also consider RRSP contributions if you're planning to use the Home Buyers' Plan (HBP), which allows first-time buyers to withdraw up to $60,000 tax-free for a home purchase. [10]

Prioritize TFSA when: you're in a lower tax bracket now but expect higher earnings later, you want flexibility for mid-life goals (since withdrawals don't trigger tax or penalties), or you're already maximizing RRSP contributions and have additional savings capacity.

Use both when: you can afford to maximize contributions to each. The combined annual room (RRSP + TFSA + the newer FHSA for first-time home buyers) can exceed $40,000 - a powerful wealth-building engine if used consistently. [11]

Common mistakes to avoid

Contributing to RRSP in a low-income year. If you're between jobs or earning less than usual, the deduction is worth less. Consider contributing to your TFSA instead and saving RRSP room for higher-earning years.

Ignoring employer matching. If your employer offers RRSP matching, that's an immediate 50–100% return on your contribution. Always capture the full match before directing money elsewhere.

Using TFSA as a savings account. Parking TFSA funds in a low-interest savings account wastes the tax shelter. Long-term data shows that diversified equity portfolios dramatically outperform cash over decades - and the TFSA's tax-free growth makes it ideal for higher-return investments. [12]

Over-contributing. The CRA charges a 1% monthly penalty on excess TFSA contributions. Track your room carefully, especially if you've made withdrawals (which restore room the following year, not immediately).

Key takeaways

  • RRSPs offer upfront tax deductions and work best for high earners who expect lower retirement tax rates.
  • TFSAs provide tax-free growth and withdrawals, offering flexibility and no impact on government benefits.
  • The "right" choice depends on your current vs. future tax rate, your behavioral tendencies, and your goals.
  • Most HENRYs benefit from using both accounts strategically rather than choosing one exclusively.
  • Always reinvest your RRSP refund - otherwise, you lose a significant part of the account's advantage.

How PsyFi helps you optimize - and stick with - your strategy

See:  NCFA Fintech Whisperer | Weekly Fintech Intelligence

Knowing the difference between RRSPs and TFSAs is one thing. Consistently making the right contributions - and avoiding the behavioral traps that derail good intentions - is another.

How PsyFi helps bridge that gap:

Personalized nudges: Reminders to contribute before deadlines, prompts to reinvest refunds, and alerts when you're approaching contribution limits.

Behavioral insights: Understand your money personality and how it affects decisions like "Should I tap my TFSA for this expense?"

Progress tracking: See how your registered accounts are growing over time, with visual cues that reinforce consistent behavior.

The best tax strategy is the one you actually follow. https://www.psyfiapp.com/ helps make that easier.

References

1: https://www.canada.ca/en/revenue-agency/services/tax/registered-plans-administrators/pspa/mp-rrsp-dpsp-tfsa-limits-ympe.html

2: https://www.canada.ca/en/revenue-agency/services/tax/individuals/topics/tax-free-savings-account/contributing/calculate-room.html

3: https://www.wealthsimple.com/en-ca/learn/rrsp-vs-tfsa

4: https://www.taxtips.ca/taxrates/on.htm

5: https://www.canadalife.com/investing-saving/retirement/pension-plans/old-age-security-oas/oas-clawback-pension-recovery-tax.html

6: https://www.wealthsimple.com/en-ca/learn/oas-clawback-explained

7: https://www.nber.org/digest/mar09/did-2008-tax-rebates-stimulate-spending

8: https://www.behavioraleconomics.com/resources/mini-encyclopedia-of-be/mental-accounting/

9: https://www.canada.ca/en/financial-consumer-agency/programs/research/canadian-financial-capability-survey-2019.html

10: https://www.canada.ca/en/revenue-agency/services/tax/individuals/topics/rrsps-related-plans/what-home-buyers-plan.html

11: https://www.canada.ca/en/revenue-agency/services/tax/individuals/topics/first-home-savings-account.html

12: https://www.rbcgam.com/en/ca/learn-plan/investment-basics/the-hidden-cost-of-too-much-cash/detail


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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OSFI and GRI Workshops Reveal What Regulated AI Needs

Mar 24, 2026 | NCFA Feature | AI Finance And Data Governance

AI Image Risks in AI Finance

OSFI And GRI AI Workshops Show What Regulated AI Needs

On Mar 23 2026, OSFI and the Global Risk Institute published the FIFAI II final report based on four workshops held between May and November 2025. More than 170 participants took part across banks, insurers, asset managers, fintechs, vendors, regulators, academics, and consumer voices.

The report confirms that AI adoption is here, citing 72% AI use at work in financial services and 75% organizational support for AI. While AI is already in use.  The real issue is what still limits its use in regulated decisions and customer outcomes.

The series covered four areas that affect operational, prudential, consumer, and system-wide risk at the same time. Full report and framework: FIFAI II final report and AGILE framework PDF

  1. Security and Cybersecurity workshop PDF
  2. Financial Crime workshop PDF
  3. Financial Stability workshop PDF
  4. Financial Well-being and Consumer Protection workshop PDF

AI Won't Spread At The Same Speed

One of the clearest takeaways is that AI will not spread across finance at the same speed. The first gains will come in internal functions such as fraud detection, surveillance, reporting, cyber defence, and operations. Those areas already have strong data, measurable outputs, and clearer accountability.

Customer-facing decisions are different. Underwriting, advice, product recommendations, and self-serve tools carry more pressure around explainability, fairness, consent, and complaints handling.

AI powered Canadian finance will likely grow faster in control functions than in customer-facing decisions.

Third Party AI Is No Longer Just A Vendor Issue

The report treats third party AI as more than a procurement issue. It highlights growing dependence on external providers for models, infrastructure, and data, along with limited visibility into how those systems work and who sits behind them.

It's important because a failure, outage, or change in access at one provider can affect more than one function at the same time. Fraud controls, underwriting tools, customer service, and risk monitoring can all be exposed together. The financial stability workshop adds to that concern by linking third party dependency to concentration and system level risk.

See: Inside the Feedback Loops Driving AI Failure

Banks, insurers, and fintechs will need stronger oversight of models and providers, better audit access, tested fallback plans, and clearer visibility into the wider supply chain behind key AI services.

Fraud Is Becoming Harder To Contain

AI is improving both offence and defence. The final report points to synthetic identity, deepfakes, voice spoofing, AI assisted cyberattacks, fraud as a service, and disinformation. It notes a sharp rise in deepfake attacks and growing concern about voice verification as AI voice cloning improves.

This reality changes the operating environment. Static controls lose value faster when attack tools get cheaper, stronger, and easier to use. Manual review and occasional rule updates will not be enough. Firms will need faster detection, stronger identity controls, better information sharing, and systems that can adjust while attacks are happening.

Weak Identity And Poor Data Still Limit What AI Can Do

Data problems come up across the whole series, but the larger issue is bigger than data quality alone. Weak identity and fragmented data still limit how far AI can go in regulated finance. The report points to inconsistent data, incomplete records, fragmented platforms, offshore storage concerns, and weak data lineage as barriers to both efficiency and safety.

See:  AI Agents Gain Identity and Wallet Access WCGW

The report doesn't mince words on identity. Canada still doesn't have a widely adopted secure digital identity layer. That leaves onboarding, authentication, consumer channels, remote work, and agent based systems more exposed than they should be. If identity and data remains weak, AI will keep working best in narrower internal use cases and face more limits in customer facing execution.

Board Oversight Has To Show Up In Real Controls

The final report introduces the AGILE framework as part of its overall findings, which stands for Awareness, Guardrails, Innovation, Learning, and Ecosystem Resiliency. The framework calls for stronger governance and oversight, stronger data and risk controls, continued investment in technology and talent, and deeper public private collaboration.

AI oversight cannot remain just at the strategy level. If AI is used in lending, fraud, underwriting, complaints, or customer recommendations, governance has to show up in controls, evidence, escalation, and accountability. In regulated finance, that's what turns AI use from experimentation into something firms can defend and scale.

What Financial Institutions and Fintechs Do Now

The workshop series points to a practical sequence:

First, identify where AI already impacts decisions and controls.

Second, separate the use cases that can scale now from the ones that still need stronger explainability and customer safeguards.

See:  AI Governance Gaps Exposed By Legal Leaders

Third, tighten vendor oversight before dependency grows further.

Fourth, invest more in identity, data lineage (origin and how it's used and updated), and real time fraud controls.

Fifth, show boards stronger evidence instead of high level claims and broad assurance language.

The report also carries a warning worth taking seriously. Firms that move too slowly can fall behind on productivity, resilience, and customer expectations while still facing external AI enabled threats.  One participant line stands out: “The biggest risk is not doing enough.”

Why This Matters For Canada

Canada’s national AI strategy work has focused heavily on trust, safety, and responsible adoption. That is necessary, but this workshop series adds something more useful for operators. It shows where AI use slows once it enters regulated finance: concentrated provider risk, weak identity, fragmented data, explainability pressure, fraud risk, and unclear accountability.

There's a call to action policy lesson here too. Canada doesn't just need AI ambition and adoption. It needs stronger execution layers around Digital ID, data governance, third party oversight, and information sharing if it wants regulated financial AI to scale beyond contained pilots.

The OSFI and GRI workshop series is useful because it takes a holistic approach to identifying and adapting to AI risks in finance. AI is already inside financial systems. The advantage now goes to firms that can prove control, trust, and accountability in live decisions.


NCFA Jan 2018 resizeThe National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org

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