Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
The RBI regularly issues directions, circulars, frameworks and regulatory guidance covering the major risks faced by banks and financial institutions. These regulatory documents influence several important areas of banking operations, including: Credit appraisal and monitoring Loan classification and provisioning Capital Read More …
Absa Bank has modernised its credit risk management infrastructure using SAS Viya on Amazon Web Services (AWS), significantly reducing reporting time while strengthening model governance and regulatory compliance. The initiative was announced by SAS on 5 August 2026. (PR Newswire) Read More …
Absa Bank has modernised its credit risk management infrastructure using SAS Viya on Amazon Web Services (AWS), significantly reducing reporting time while strengthening model governance and regulatory compliance. The initiative was announced by SAS on 5 August 2026. (PR Newswire) Read More …
As organisations expand their use of artificial intelligence, risk management experts are highlighting the importance of establishing a formal written AI policy before deploying AI tools across business operations. A documented AI policy provides a foundation for responsible AI adoption Read More …
The European Commission has announced a new plan to address the risks and opportunities associated with advanced artificial intelligence, with a focus on strengthening cybersecurity, improving resilience and ensuring responsible AI development. The initiative aims to support the secure adoption Read More …
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 …
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 …
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 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 …
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 …