Generative AI
A tidal wave of token costs threatens landfall
Soaring token usage is forcing financial firms to rethink the economics of modern enterprise AI
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
A third of banks do not maintain logs for GenAI models
Risk Benchmarking study finds few banks review prompt logs systematically, with larger firms focusing on higher risk use cases
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
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
Four in five banks use AI to manage op risks
Risk Benchmarking: Cyber risk use cases growing; governance and ROI doubts give some pause
Managing the risks of generative AI: a framework for enterprise risk management
The authors put forward a conceptual framework to mitigate risks associated with generative-AI in enterprise risk management.
Everything is connected: Santander’s US CRO shuns siloed thinking
Rise of AI intensifies links between fraud, cyber, third-party and other operational risk categories
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
Do banks still need to validate GenAI models?
Regulators carved out GenAI models from new risk guidance. Banks shouldn’t see this as a reason to stop validating them.
Barclays built a risk framework for GenAI from scratch
Eleven teams contribute to assessing generative AI use cases in a system that includes 35 controls
Quants like Andrew Ang are making the case for AI agents
AI agents can boost human managers by analysing investments, risks and portfolio choices at scale
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
In the age of GenAI, why do we still need good models?
Jean-Philippe Bouchaud says models can guide artificial intelligence through regime shifts and away from overfitting
The do-it-all machine: model risk in the age of generative AI
Banks race to understand risks posed by new breed of multi-purpose bots
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 operational risks for 2026
Industry shares intel on biggest collective threats, as well as remedies and loss gauges