RBI Outsourcing Directions, Cybersecurity Directions and Draft Model Risk Guidance: A Roadmap for Banks and NBFCs

RBI’s outsourcing directions, its July 2026 cybersecurity directions and its draft model risk guidance each keep the regulated entity accountable for what vendors, partners and models do. This guide shows where they connect and what risk, compliance, IT and audit Read More …

AI Governance Career: Roles, Skills and Where Risk Professionals Fit

AI Governance Career

Banks and NBFCs now use AI for credit decisions, fraud detection, customer service and collections. Every one of those uses creates a risk someone has to own. That is why an AI governance career is becoming one of the most Read More …

Central Banks Face Emerging Systemic Risks from Artificial Intelligence

Central banks worldwide are increasingly focusing on the potential systemic risks created by the rapid adoption of artificial intelligence (AI) across financial markets and institutions. While AI offers significant opportunities to improve efficiency, risk analysis and financial services, its widespread Read More …

Absa Bank Modernises Credit Risk Management with Advanced Analytics

Absa Bank has strengthened its credit risk management capabilities through the adoption of advanced analytics and technology solutions aimed at improving risk assessment, decision-making and portfolio management. The initiative reflects the broader transformation taking place in banking, where financial institutions Read More …

Vietnam Central Bank Promotes AI Adoption While Strengthening Risk Management

The State Bank of Vietnam (SBV) is encouraging banks and financial institutions to accelerate the adoption of artificial intelligence (AI) while emphasising the need for stronger risk management frameworks to ensure safe and responsible implementation. The approach reflects the growing Read More …

AI Model Failure in Banking: 7 Risks Risk Managers Should Understand

AI Model Failure in Banking: 7 Risks Risk Managers Should Understand

Traditional model risk management in banking grew up around relatively stable, well understood statistical models, credit scorecards, VaR calculations, and provisioning models that behaved predictably once validated. Artificial intelligence changes this picture significantly. AI models, particularly machine learning and deep Read More …

From RBI Circulars to Practical Risk Management Capability

From RBI Circulars to Practical Risk Management Capability

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 Modernises Credit Risk Reporting with SAS

Absa Bank Modernises Credit Risk Reporting with SAS

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 Modernises Credit Risk Reporting with SAS

Absa Bank Modernises Credit Risk Reporting with SAS

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 …

AI Risk Management Starts with a Written Policy

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 …