Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
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 …
Artificial intelligence (AI) is increasingly being adopted in customs and trade risk management to improve compliance monitoring, identify potential violations and enhance efficiency in cross-border trade operations. The use of AI in customs processes reflects the broader shift towards data-driven Read More …
Aon has launched an AI Risk Diagnostic, an enterprise-level assessment designed to help organisations evaluate and manage risks arising from the growing use of artificial intelligence across business operations. The solution provides organisations with a structured assessment of their AI Read More …
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 …
Artificial intelligence is moving rapidly from experimentation to enterprise-wide adoption. Across banking, insurance, financial services and other industries, organisations are using artificial intelligence to assess creditworthiness, detect fraud, automate customer service, improve underwriting, monitor transactions and support strategic decisions. These 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 …
Artificial intelligence is bringing a significant shift in risk management by enabling organisations to move from reactive approaches towards more predictive and proactive decision-making. Traditionally, risk management relied heavily on historical data, periodic reviews and manual analysis. However, the increasing Read More …
SGS has launched SGS Compass, a data-driven platform designed to help organisations manage global supply chain risks, improve compliance and strengthen operational resilience. The new platform combines artificial intelligence, data analytics and supply chain intelligence to provide businesses with deeper Read More …
The NIST AI Risk Management Framework (AI RMF) has emerged as a key tool for IT and risk management teams seeking to safely adopt artificial intelligence technologies. Developed by the U.S. National Institute of Standards and Technology (NIST), the framework Read More …