Generative AI
Why a hybrid approach works best for AI in credit risk modelling
AI helps models look beyond quarterly reports, but CRO says governance curtails full automation
Barclays built a system to spot AI agents that might go rogue
Research setup ‘reads the mind’ of LLM-based agents and flags if they’re about to do something risky
An agentic bank? Not so fast
With no clear definition or way to gauge ROI, claims of AI adoption should be taken with a pinch of salt
Continuous verification holds key to keeping AI on track
Decision-by-decision testing will help users trust AI judgement calls
What happens when AI gets good at your risk management job?
Risk executive Alex Golbin asks how to build a valuable career in risk as agentic AI takes on more analysis
As LLMs spread, quants confront ‘lexical risk’
Users are finding the uncertainty in GenAI models is hard to measure
Manuela Veloso on how banks can make their AI dreams reality
Former JP Morgan head of AI research says open-ended enquiry will unlock technology’s full potential
A tidal wave of token costs threatens landfall
Soaring token usage is forcing financial firms to rethink the economics of modern enterprise AI
Banks building GenAI governance in parallel to model risk
Risk Benchmarking: Majority have established AI governance committees, but ownership is fragmented
Frontier AI poses new cyber risks – BIS study
National and international co-operation needed to tackle increased threat
Model risk managers see growing regulatory divergence
Risk Benchmarking study finds most banks expect easing of model risk supervisory scrutiny in the US, but tightening in Europe
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