Generative AI
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
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
A global governance framework for generative artificial intelligence in financial risk management: empirical insights on mitigating hallucination and opacity in the augmented intelligence era
The author proposes a six-pillar governance framework for generative-AI applications in financial risk management.
Model validation of a generative-artificial-intelligence-based avatar for customer support in banking
The authors put forward a validation method for a gen-AI-based avatar designed to deal with customer inquiries in the banking sector.
FHLB Cincinnati explores AI to spot failing banks
Agentic model detects anomalies, monitors sentiment and drafts credit reports for analyst review
Esma won’t soften regulatory expectations for cloud and AI
CCP supervisory chair signals heightened scrutiny of third-party risk and operational resilience
JP Morgan AI research founder and head departs
Manuela Veloso leaves as bank announces greater spend on tech and AI
At BNY, a risk-centric approach to GenAI
Centralised platform allows bank to focus on risk management, governance and, not least, talent in its AI build
Rethinking model validation for GenAI governance
A US model risk leader outlines how banks can recalibrate existing supervisory standards