For the last few years, AI in banking has mostly meant AI that recommends. A model flags a suspicious transaction, scores a credit application, or suggests the next best product, and a human banker still presses the button. That line Read More …
Tag: model risk management
Agentic AI in Banking: Who Is Accountable When AI Takes Action?
Sentient Index Labs Launches AI Risk Assessment
Sentient Index Labs & Technology has launched the Sentience Evaluation Battery, an independent behavioural risk assessment designed to examine how artificial intelligence systems respond under adversarial pressure. Unlike conventional benchmarks that primarily measure model capabilities, the assessment evaluates behavioural characteristics Read More …
AI Capability Building Programme for Financial Institutions
A Hybrid Capability-Building Programme for Banks, NBFCs & Regulated Financial Institutions Self-Paced Online Courses + Live Faculty-Led Immersion + Dual Certification under BFSI Sector Skill Council of India & RMAI Executive Summary Artificial intelligence is moving from experimentation to expectation Read More …
Model Risk Management for AI: The New Skill Every BFSI Risk Team Needs Before RBI’s Deadline
Model Risk Management for AI is the discipline of governing every stage of an AI or machine learning model’s lifecycle, including development, validation, deployment, ongoing monitoring, and retirement, to ensure the model performs as intended and its limitations are understood Read More …
RBI Mandates AI ‘Kill Switch’ & Broadens Model Risk Framework
The Reserve Bank of India (RBI) has released a draft ‘Guidance on Regulatory Principles for Model Risk Management, 2026‘ for public consultation. This framework marks a major leap forward in AI governance for India’s financial sector, significantly broadening regulatory oversight Read More …
Financial institutions reassess the economics of model risk management
Financial institutions are increasingly re-evaluating the economics of model risk management as Artificial Intelligence, machine learning and advanced analytics become more deeply integrated into banking, insurance and financial services operations. Industry experts note that financial organisations now rely on a Read More …
AI Model Risk Management Market Set for Strong Growth Through 2030
The global market for AI model risk management is witnessing rapid expansion, with projections indicating a year-on-year growth of $1.16 billion in 2026. The surge reflects increasing adoption of artificial intelligence across industries and the growing need to manage associated Read More …
Retrofitting AI into Model Risk Management is key to responsible AI deployment
The increasing adoption of artificial intelligence (AI) models in compliance, transaction monitoring, and Know Your Customer (KYC) processes is presenting complex risk-management challenges. According to Corporate Compliance Insights, integrating AI within existing Model Risk Management (MRM) frameworks is essential for Read More …
Global AI model risk-management market set for USD 14.6 billion by 2032
The global market for AI model risk management is projected to grow substantially, rising from an estimated USD 6.41 billion in 2025 to approximately USD 14.55 billion by 2032, according to a recent market-analysis report. This growth reflects the escalating Read More …
Retrofitting AI into Model Risk Management is Key to Reg AI Adoption
As artificial intelligence (AI) and machine learning (ML) become integral to compliance and regulatory functions, many organisations now recognise the need to apply model risk management (MRM) frameworks retroactively. According to Kevin Lee of Cygnus Compliance Consulting, the “risk footprint Read More …