Karsten Wenzlaff, Advisor
August 26th, 2025
July 13, 2026 | NCFA Market Activity | Cybersecurity And Fraud, Artificial Intelligence And Data, Banking And Credit

On June 25, 2026, Jack Henry expanded its Google Cloud collaboration to develop agentic AI security for banks and credit unions. The U.S. banking technology provider serves about 7,400 community financial institutions and plans to combine Google Security Operations, Gemini Enterprise Agent Platform, and Mandiant Consulting across Google Cloud, other cloud services, and on-premises systems.
The deal is less about access to an advanced model than the work required to deploy one inside a bank. Security evidence is spread across user accounts, devices, applications, networks, and cloud services. Analysts must connect those records quickly enough to determine whether an alert is harmless or part of an attack. Smaller institutions often lack the security teams and integration capacity to do that across several enterprise products.
The divide and conquer commercial logic of the deal is Google brings the models, security software, and threat expertise. While Jack Henry brings the bank relationships and operating knowledge required to put them to work.
Google Security Operations collects security data from across an institution’s systems and connects related alerts into an investigation. Its Triage and Investigation Agent can retrieve evidence, apply threat intelligence, assess likely causes, and explain its findings.
Google says the agent has processed more than five million alerts and reduced a typical 30-minute manual investigation to about 60 seconds. Those are Google product results, not outcomes reported by Jack Henry customers.
The operating gain comes from completing the early investigation before an analyst steps in. Instead of opening several products, finding related records, and rebuilding the sequence of events, the analyst receives an assembled case with supporting evidence and a proposed response.
Sensitive actions still require clear limits and human oversight. Google can pair AI investigations with fixed playbooks and require approval before isolating a device, disabling an account, or blocking traffic. Jack Henry hasn’t said where it will draw those boundaries, how customers will audit agent decisions, or what happens when an automated recommendation is wrong.
Release timing, pricing, implementation requirements, and the first participating institutions also remain undisclosed, so the announcement is good on tech direction but light on adoption or performance figures inside an operating bank.
Mandiant Consulting adds threat modelling, security assessments, and red team testing. That work tests the design before attackers do. Gemini handles reasoning, while Google Security Operations provides the data and investigation tools.
Jack Henry must make the combined service fit each institution’s systems, controls, and support model. That integration is the difficult part.
A bank could buy Google’s security products directly. It would still need to connect the right data, define agent permissions, build response procedures, satisfy audit requirements, and decide who remains accountable for each action.
Jack Henry already operates inside that environment. Its core processing, digital banking, payments, lending, and operational products support institutions that rarely replace critical systems. It also manages hosted and on-premises deployments that a cloud provider may not control.
The companies began working together in 2022 on cloud data, reporting, and integration services. Security extends that relationship into a product Jack Henry can configure around each customer and deliver through an existing technology and support contract.
That could make AI security another banking software service rather than a separate enterprise purchase. Core providers already control the connections, implementation work, and customer access needed to distribute agents at scale.
Security specialists still compete on detection quality, threat intelligence, and response tools. CrowdStrike and Palo Alto Networks are adding agents to their products, while Fiserv offers managed cybersecurity services and is developing AI capabilities. Jack Henry competes from a different position. Its advantage is knowing how community institutions run and where security tools must connect.
Google gains a route into thousands of regulated institutions without implementing its products one bank at a time. Jack Henry can add a service whose value depends on its knowledge of each customer’s systems and operating requirements.
This is where enterprise AI economics become clearer. Foundation models can be sourced from a small group of large providers. The commercial asset is access to the workflow where the model can complete useful work under controlled permissions.
That favours software companies with deep customer integration. Fintech founders don’t need to build a foundation model, but a general AI interface won’t be enough. TD’s AI loan decisioning deployment shows why the value comes from placing verification and decision tools inside an active lending workflow. A specialized process, regulated decision, proprietary dataset, or difficult integration gives an agent work that an incumbent can’t easily reproduce.
Jack Henry hasn’t announced a Canadian release, but the deployment problem is familiar. Canadian regulated AI workshops have identified vendor dependence, data quality, model validation, and accountability as barriers to production use.
Access to a capable model isn’t the constraint. Banks need to connect it to existing systems without losing control of data, permissions, decisions, or operational risk. National Bank’s Sardine deployment follows that reality by embedding external device intelligence and risk scoring into retail, commercial, and wealth operations.
The Canada AI Consortium is working on common controls for models, agents, users, and enterprise systems. Its use cases differ from Jack Henry’s security project, but the operating requirement is the same: agents need restricted access, visible decisions, and accountable people.
For Canadian banks and fintechs, the commercial challenge is solving those controls inside regulated workflows. Products that leave the integration and governance work to the bank may struggle to progress beyond a pilot.
As foundation models become easier to replace, will banking software competition depend less on who owns the AI and more on who controls the workflows where agents can act?
The 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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July 10, 2026

Financial technology organizations are often able to grow - employing staff from different countries - these companies use international recruitment to address high workloads, find highly trained employees and enter new geographical areas. Many professionals, like software engineers, data researchers and client service experts, prefer roles that allow them to work from any location. While these hiring practices are beneficial, businesses are responsible for managing the specific challenges involved.
Worker classification is a primary factor for companies to manage when they hire across borders. Organizations that identify their staff correctly are able to prevent legal disputes and avoid the loss of money. Businesses that operate in multiple countries have fewer administrative tasks when they clearly define the legal status of their international workers.
Worker classification is the process where an organization determines if a person is an employee or an independent contractor. Companies are required to follow specific guidelines to establish the legal status of their workers. Government agencies and courts evaluate the degree of control an employer has and how much independence a worker maintains to make this decision. Please be aware that the label a company gives to a worker is not the only factor that determines their status.
This consideration is particularly important for companies that staff internationally. The status of a worker who provides services from abroad can change depending on the country where they originate. As such, businesses should understand the implications of classifying employees as independent contractors outside their jurisdiction.
Businesses can suffer adverse financial and legal consequences from misclassifying workers. For instance, companies may incur substantial expenses by following court orders mandating retroactive payments of payroll taxes, overtime, and social benefits. In addition, businesses must consider litigation costs in any resulting disputes over misclassification.
Companies that hire internationally must navigate complex legal frameworks when classifying their workers. Most jurisdictions allow businesses to employ independent contractors on either a full-time or part-time basis. However, certain countries require organizations to treat such workers like employees. It can be challenging to ensure that employment terms abide by all applicable statutory requirements in different jurisdictions. As such, companies may find themselves facing adverse consequences when trying to establish long-term contracts for workers based abroad. To mitigate these risks, businesses turn to local attorneys and a Toronto Employment Lawyer to understand the implications before hiring.
How a company classifies its workers influences how the business functions. Management must recognize the administrative tasks and legal requirements that apply to different categories of workers - these arrangements are important because they change how the company processes payroll, manages benefits plus protects private data. Leaders are able to use this information to plan their workforce and lower the risk of legal disputes.
The status of a worker is what defines their specific legal rights but also responsibilities. Individuals who are employees are usually eligible for more protections and company provided benefits than those who are independent contractors. If a company understands these distinctions, it is able to follow the law as well as maintain a consistent hiring process - this knowledge is necessary for organizations that intend to grow in multiple countries and use the specific abilities of their staff effectively.
The financial technology industry is subject to many regulations. Companies are required to dedicate time and money to follow laws regarding data privacy, security for digital information plus financial reporting. This commitment to compliance is also necessary when businesses hire staff. Classification of workers is an important process because these organizations manage private data and perform money transfers for customers. Organizations that hire people in other countries are encouraged to monitor legal changes but also speak with an employment lawyer. Audits are a helpful tool to identify problems and lower risks before a company hires remote employees.
Fintech companies often find benefits in hiring employees from other countries - this approach allows businesses to grow and find qualified workers in a larger market. All staff members must follow the same professional requirements regardless of their location. Management teams are responsible for creating clear rules for international hiring to keep processes uniform and minimize potential problems.
Rules change depending on the country - businesses are more successful when they monitor legal updates. A detailed plan for following laws is necessary because international employment is complex - these strategies are also important for keeping the trust of investors and protecting the public image of the company.
The 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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July 9, 2026 | NCFA Market Activity | Artificial Intelligence And Data, Risk Compliance And Regtech, Cybersecurity And Fraud, Digital Identity And Trust, Payments And Money Movement, Digital Assets Blockchain And Tokenization

On July 8, the Cambridge Digital Innovation & Regulation Initiative (C:>DIR), hosted by Financial Innovation for Impact (Fii), launched the Global Agentic Regulator Hackathon. Applications are NOW OPEN for a worldwide challenge that brings together policymakers, regulators, AI researchers, engineers, financial institutions, fintechs, RegTechs, SupTechs, academics and technology innovators to develop practical, explainable and deployable agentic AI prototypes for public authorities. The National Crowdfunding & Fintech Association of Canada (NCFA) is participating as an Ecosystem Partner to help promote the initiative across global fintech ecosystems, including Canada's fintech, AI and innovation networks.
The virtual hackathon runs from July 8 to September 18, 2026, with concept note submissions due by July 31. It carries a US$100,000 prize pool, and winning teams will also be invited to present at the Singapore FinTech Festival, hosted by GFTN. The launch is supported by the BIS Innovation Hub, Global Financial Innovation Network (GFIN), Digital Regulation Cooperation Forum (DRCF), and a global group of supporters, ecosystem partners and academic institutions.
AI agents are already operating in financial services. The next question is whether regulators will have the tools to supervise them.
According to the organizers, the CCAF 2026 AI in Financial Services Global Report found that 58% of fintechs and 47% of traditional financial institutions are adopting agentic AI, compared with 28% of regulators. That gap is important because AI agents can recommend, transact, monitor, route, execute and coordinate across systems faster than traditional supervisory processes were designed to handle.
This is why the hackathon is strategically important. It treats agentic AI as a supervision and infrastructure issue, not just a productivity tool. Public authorities need better ways to monitor risks, test model behaviour, understand accountability and respond to market activity that can develop at machine speed.
Participants will develop prototypes across six challenge areas:
These themes reflect where financial supervision is likely to be tested first as AI systems begin initiating transactions, interacting with digital assets, providing financial guidance and coordinating increasingly complex financial activities.
For founders, researchers, fintech teams, RegTechs and infrastructure providers, the opportunity is not simply to build smarter AI. It is to help shape the supervisory capabilities that may define trusted digital finance as autonomous systems become more common.
The breadth of organizations involved is a strong signal. With regulatory partners, global financial innovation networks, technology firms, academic institutions and ecosystem groups participating, the hackathon shows that agentic AI oversight is becoming a shared public and private sector priority.
For Canadian participants, the timing is also practical. Canada has strengths in artificial intelligence, financial services, digital identity, payments, cybersecurity, digital assets and regulatory innovation. This gives Canadian builders a chance to contribute to global supervisory tools before standards and operating models become more established internationally.
The organizers are seeking multidisciplinary teams that combine regulatory knowledge with technical expertise, including:
| Milestone | Date |
| Preliminary round opens | July 8, 2026 |
| Concept submissions close | July 31, 2026 |
| Teams selected | August 4 to August 14, 2026 |
| Virtual build phase | September 1 to September 8, 2026 |
| Global demonstrations and regulator voting | September 15, 2026 |
| Winners announced at the C:>DIR Summit, Cambridge | September 18, 2026 |
Applications for the preliminary round are open until July 31, 2026. Regulators, AI researchers, engineers, fintechs, RegTechs, SupTechs, financial institutions, universities and technology innovators are invited to submit concept notes and develop practical agentic AI prototypes for the future of financial supervision.
Read the full challenge details and submit your application through the official C:>DIR Global Agentic Regulator Hackathon page.
The 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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July 8, 2026 | NCFA Market Activity | SME Finance And Business Banking, Artificial Intelligence And Data, Digital Identity And Trust, Cybersecurity And Fraud, Fintech And Innovation

On July 7, 2026, Equifax announced a definitive agreement to acquire Círculo de Crédito, a Mexican credit information services company, for a $750 million enterprise value. The companies expect the transaction to close in the fourth quarter of 2026, subject to closing conditions and regulatory review.
Círculo de Crédito operates consumer and commercial credit bureau services in Mexico. Equifax says the company serves more than 1,700 bank, retail, fintech, small business lending, microfinance and telecommunications customers, with 2 billion tradelines covering 80 million validated identities.
The deal expands Equifax’s international credit data footprint in Mexico, which Equifax describes as one of the fastest growing credit markets globally. Círculo de Crédito generated an estimated $134 million in revenue for the 12 months ended June 30, 2026, up 31%, with $62 million of adjusted EBITDA.
Equifax says Círculo de Crédito uses alternative data, including gig economy transactions, utility payment history and telecommunications payment history. Mexico has a large underbanked population. Mexico is a market where more than 25% of the population lacks access to formal financial products and nearly 44% does not have a bank account.
Alternative data can help lenders assess thin file borrowers, informal workers, microbusinesses and consumers without deep traditional credit histories. It can also help challenge questions about consent, data quality, explainability, model governance and consumer protection when credit access depends on broader data signals.
More data can widen access, but only if lenders can show how the data is collected, governed, explained and challenged.
Equifax says the acquisition gives Círculo de Crédito customers access to Equifax cloud native capabilities, EFX.AI technology, identity protection and fraud prevention offerings.
Following closing, Círculo de Crédito will join the Equifax International business. Juan Manuel Ruiz Palmieri and the existing Círculo de Crédito team are expected to continue leading the company.
The acquisition also continues Equifax’s expansion strategy. CEO Mark W. Begor said Círculo de Crédito would be Equifax’s 17th bolt on acquisition in the past six years, bringing the total for that period to nearly $5 billion.
Lenders increasingly rely on identity coverage, alternative data, fraud controls and AI assisted underwriting to expand credit access. That same data quality issue appears in AI Won't Solve SME Finance Without Better Data, where the core problem is not model ambition, but whether business data is trusted, verified and usable.
That connects directly to Canada’s own SME finance debate. NCFA recently examined why SME loan competition in Canada is under review, including lender concentration, switching friction and access barriers for smaller firms.
It also fits the Open Finance SME Capital Access opportunity area, where SME data, credit access and open finance are already linked.
More data can support credit access. The hard part is proving that expanded data use remains accurate, explainable and fair.
Can alternative data expand credit access without creating new blind spots in consent, model governance and borrower recourse?
The 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](http://www.ncfacanada.org)
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