Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
AI agents are creating a new dimension of technology risk because, unlike conventional software or standalone large language models, they can be connected to tools that allow them to read information, modify records, send communications or execute actions. A recent Read More …
The emergence of frontier AI models in April 2026 has changed the cyber-risk landscape, according to a new CEPR VoxEU analysis by Eric Törnqvist and Jerzy Kopiński. The authors argue that advanced AI systems can autonomously execute cyber operations and Read More …
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 …
United Nations Secretary-General António Guterres has called for stronger international cooperation to manage the potential risks arising from the rapid development of artificial intelligence. Addressing the opening of the 81st UN General Assembly, he said countries should work towards a Read More …
Artificial intelligence is creating value across KYC, sanctions screening, transaction monitoring, fraud detection and credit risk, but Deutsche Bank says speed of adoption must not come at the expense of testing and human oversight. Tsvetanka Nankova of Deutsche Bank describes Read More …
AI agents cannot be secured effectively through a one-time risk assessment, because their risk profile can change when models, prompts, tools, permissions, data sources or operating environments change. A recent discussion with AI-security specialist Rohit Valia, cited in the supplied 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 …
The UK Department for Science, Innovation and Technology (DSIT) has published an AI Risk Management Toolkit to help public-sector organisations identify, assess and manage risks associated with the design, procurement, deployment and use of artificial intelligence. The guidance was published Read More …
The country where an artificial intelligence (AI) model is developed provides limited insight into its actual risk profile, according to analysis highlighting the need for stronger AI governance, transparency and model evaluation frameworks. As organisations increasingly adopt AI systems, assessing Read More …
India’s digital transformation has created one of the world’s largest technology-driven financial ecosystems, but sustaining this progress requires a stronger risk management infrastructure to address emerging challenges related to cybersecurity, data protection, operational resilience and technology governance. The rapid expansion Read More …