Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
IOSCO AI Supervisory Toolkit For Capital Markets
June 16, 2025 | NCFA Resource | Risk Compliance And Regtech, Artificial Intelligence And Data, Regulation And Policy
Practical Oversight Tools For AI Use In Capital Markets
On May 25, 2026, the International Organization of Securities Commissions (IOSCO) published its Supervisory Toolkit for Artificial Intelligence Use in Capital Markets. The report provides practical tools for regulators supervising AI systems used by market participants, exchanges, investment firms, and capital market infrastructure providers.
The toolkit arrives as AI goes beyond experimentation and into production environments across trading, surveillance, compliance, onboarding, fraud detection, customer service, research, risk management, and operational workflows. IOSCO focuses on the supervisory questions regulators need to ask rather than promoting a specific technology approach.
Stakeholder Input Opportunity: IOSCO is also seeking feedback related to the toolkit and AI supervision in capital markets. Interested regulators, market participants, technology providers, academics, and industry stakeholders can review the report and submit responses to IOSCO by this short survey by June 26, 2026.
What The Toolkit Covers
The report organizes supervision around seven areas. These include governance and accountability, model development and testing, data quality and management, monitoring and controls, outsourcing and third party providers, market conduct risks, and operational resilience.
Rather than prescribing rules, IOSCO provides supervisory questions, review approaches, and practical considerations that regulators can use when assessing AI systems operating in capital markets. The toolkit is designed to support risk based supervision while remaining flexible as technologies evolve.
The report also recognizes that AI risks often emerge from combinations of factors rather than a single model failure. Poor quality data, weak governance, limited oversight, inadequate testing, vendor dependencies, and insufficient monitoring can interact in ways that create market, operational, or investor protection concerns.
Why It Matters
Many financial institutions are already deploying AI in regulated environments. The challenge is no longer whether AI will be used. The challenge is whether firms can demonstrate appropriate governance, explainability, oversight, and accountability once those systems affect clients, markets, or investment decisions.
For fintech operators, the toolkit offers a useful preview of the questions regulators may increasingly ask during examinations, supervisory reviews, audits, and risk assessments. Firms that build governance and controls into deployment processes early may face fewer compliance and operational challenges as expectations mature.
Who Gets Value
This resource is useful for securities regulators, exchanges, investment dealers, fintech founders, regtech providers, compliance teams, AI governance specialists, risk managers, and market infrastructure operators.
It is especially relevant for organizations using AI in trading, surveillance, onboarding, fraud detection, compliance monitoring, client communications, investment research, portfolio management, or operational decision making.
Strengths And Limits
The strength of the toolkit is its practical orientation. It extends beyond high level AI principles and focuses on supervision, controls, accountability, and operational implementation. The framework can be applied across a wide range of AI use cases and organizational structures.
It also provides a common language that regulators and industry participants can use when discussing AI oversight. That consistency becomes increasingly important as firms operate across multiple jurisdictions with different regulatory approaches.
The toolkit does not create binding rules or regulatory obligations. IOSCO's role is to provide guidance and supervisory tools that member jurisdictions can adapt to their own legal and regulatory frameworks.
Key Resources
IOSCO Supervisory Toolkit For AI Use In Capital Markets (primary resource)
IOSCO Media Release (official announcement)
AI Agents Enter Governed Financial Workflows (AI governance and oversight)
Customer Due Diligence Controls For Fintechs (controls, monitoring, and accountability)
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