Article ID: 317c3db6537d75923a017e0d30fa2c8b11b896761cf0fe5e6db2e72629622965
Source ID: regulatory:risk.net
Published At: -
Extraction Method: trafilatura
URL: https://www.risk.net/topics/artificial-intelligence
Body Text
Artificial intelligence 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 Prudential regulation reporting system of the year: Regnology Regnology’s cloud-native platform helps firms unify risk, regulatory reporting and finance on a single data foundation, using AI‑ready architecture to support future innovation Private credit risk doesn’t have to be systemic to be serious Risk management leader outlines three cracks in the consensus that risk in the private credit sector is contained Banks building GenAI governance in parallel to model risk Risk Benchmarking: Majority have established AI governance committees, but ownership is fragmented AI agents for cash management in payment systems The authors asses to what extent generative artificial intelligence models can assist with high-level intraday liquidity-management tasks in wholesale payment systems. 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 The evolution of operational risk scenario analysis How structured scenario analysis paired with AI-enabled challenge can modernise banks’ op risk practices 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 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 0DTE options and non-banks could accelerate market risk Risk Live: Risk managers warn trading desks in “uncharted territory” with shocks moving faster Anthropic curbs and cost fears spur banks to shop around for AI Risk Live: Banks increasingly wary of reliance on US models amid uncertain geopolitical environment and mounting costs Agentic AI for XVAs still five years away, experts say Risk Live: Questions about validation and accountability keep autonomous AI models out of XVAs for now AI agents could become credit risk managers… almost Risk Live: Bankers say credit stress-testing could be automated, but humans remain accountable Risk Technology Awards 2026: Real-time reality Industry trying to improve on periodic risk reporting – but it’s not easy Best use of AI: Moody’s Moody’s Banking Decision Intelligence solution uses AI to bring together credit, liquidity, capital, profitability and other insights Credit data provider of the year: Moody’s As financial institutions seek faster, more contextualised credit insights, Moody’s has combined proprietary datasets, domain expertise and agentic AI to help clients make more informed risk decisions Former MI6 chief urges AI slowdown Risk Live: Other AI firms will be “in exactly the same space” as Anthropic’s Mythos, warns Moore
Metadata (JSON)
{
"score": 8.85
}