Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
Enterprise adoption of artificial intelligence is increasing the workload associated with AI risk and governance, with a OneTrust survey finding that four in five senior business decision-makers, including Chief Information Officers, Chief Information Security Officers and Chief Data Officers, are Read More …
Dataiku has launched Agent Management, a standalone platform designed to give enterprises visibility and governance across their growing portfolios of artificial intelligence agents. The move addresses what the company describes as “agent sprawl”, where employees can create AI agents faster Read More …
The NIST Artificial Intelligence Risk Management Framework (AI RMF) 1.0 provides organisations with a structured, voluntary approach to identifying, assessing and managing risks associated with artificial intelligence throughout its lifecycle. The framework is designed to help organisations incorporate trustworthiness considerations Read More …
Corporate boards need to understand how artificial intelligence is changing their organisation’s overall risk profile, rather than receiving a technical list of potential AI threats, according to a recent analysis published by TechTarget. The analysis argues that AI does not 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 …
Banks and financial institutions increasingly rely on AI solutions from third-party vendors and FinTech partners. These collaborations enhance innovation and operational efficiency but also introduce operational, compliance, and reputational risks. Mismanaged AI systems can lead to failures, regulatory breaches, and Read More …
AI compliance is gaining prominence as organizations expand the use of artificial intelligence across sectors such as banking, insurance, healthcare and technology. It refers to the systems, controls and governance mechanisms put in place to ensure that AI applications operate Read More …
AI compliance has emerged as a critical governance priority as organisations increasingly deploy artificial intelligence across business functions. It refers to the frameworks, controls and processes designed to ensure that AI systems operate in line with applicable laws, regulatory requirements Read More …
Artificial intelligence (AI) is redefining how insurance organizations assess risk, serve customers, and manage operations. What began as basic automation has evolved into advanced predictive models, real-time risk insights, and intelligent decision support systems. For insurers, AI in insurance is Read More …
Quick Summary This course teaches how to AI Risk Management using global frameworks. You will learn: How to identify AI-specific risks How to apply NIST, EU AI Act, and ISO frameworks How to build AI governance and risk controls How Read More …