Governance
Operationalising AI: building governance foundations for capital markets risk
Senior industry leaders and practitioners explore how firms are integrating AI into enterprise risk and capital management
Governing AI execution as institutional infrastructure
Drawn from discussions at a June 2026 AI governance roundtable in New York, convened in collaboration with Cisco
Model risk managers are being asked to do more with less
Risk Benchmarking study finds function being handed expanding AI workload, on flat resources
Banks are automating GenAI testing, but scope varies widely
Risk Benchmarking: LLM-as-judge offers model testing at scale, but few lenders use it to facilitate autonomous sign-off
From gatekeeper to coach: model risk bids to reinvent itself
Model Risk Benchmarking data reveals a function in flux, grappling with resource cuts, AI models, regulatory divergence
AI agents could become credit risk managers… almost
Risk Live: Bankers say credit stress-testing could be automated, but humans remain accountable
AI autonomy may redefine risk management roles
Risk Live: Machine validation of autonomous processes may emerge “relatively soon”, EIF risk chief says
Managing AI models is reshaping three lines of defence, say banks
Risk Live: Model managers want seat at table during development, and expect first line to take charge of AI model testing
AI compute has a governance problem
As exchanges move to launch compute futures, Vishal Gupta argues that the real test is not product innovation, but whether governance can keep pace
EU banks welcome high-risk systems breather from delay in AI act
But chatbot transparency still applies from August, requiring deployers to disclose use to customers
Trading desks urged to bolster cross-market surveillance
Artificial intelligence could help track market abuse across different instruments and venues
Op Risk Benchmarking 2026: explore the data
View interactive charts from Risk.net’s 61-bank study, covering risk appetite breaches, controls, scenario analysis, GRC tech and regulation
Op Risk Benchmarking: Banks seek a home for AI risk
Risk.net’s 2026 study sees record participation and collective unease, as banks race to incorporate AI into op risk frameworks
Regulators question human-in-the-loop as AI governance tool
Bank of England and FSB executives suggest it’s more important to retain overall accountability
MI9: runtime governance for agentic AI systems
A real-time telemetry system for banks to control and authorise for agentic AI actions
How AI agents can join the dots for risk managers
Citi risk expert outlines agentic AI tool that would pull together structured and unstructured data on trading and lending approvals to create single, unified view of risk
Hopes, fears and ‘mass confusion’: the sudden end of SR 11-7
Banks welcome chance to prioritise model reviews, but fret over future policy changes and AI
The rise of AI politics
AI should not be treated as just another technology, writes MAS adviser David Hardoon
AI risk management and the shift to capability control
By reframing validation, banks can align innovation with regulatory demands and maintain robust risk discipline, argues risk manager
Top 10 op risks: AI upends risk taxonomies
AI risk enters annual poll in fifth, but firms split over treating it as a standalone risk or a cross-cutting driver
Top 10 op risks 2026: Cyber stays top, AI risk enters at fifth
Third-party and outsourcing risk climbs to third; fraud and fincrime edge out geopolitical risk