Risk Management Association of India
Global body dedicated to education, research and development on Risk Management
The Indian Personal Data Protection and Digital Privacy landscape is evolving rapidly with the enactment of the DPDP Act. As banks and financial institutions increasingly adopt AI systems, including predictive analytics, generative AI, and automated decision making, compliance with DPDP Read More …
For decades, financial institutions have relied on KYC and AML frameworks to identify customers, verify identities, and prevent financial crime. While these controls continue to evolve, fraudsters are evolving even faster. The emergence of deepfakes and synthetic identity fraud is Read More …
Generative AI has quickly moved from experimentation to implementation across the banking sector. Large Language Models (LLMs) are being deployed to support customer service, automate documentation, assist compliance teams, enhance productivity, and improve decision making. Banks are increasingly exploring Generative Read More …
Artificial intelligence is transforming financial markets, banking operations, investment ecosystems, and digital financial services at unprecedented speed. While AI improves efficiency, automation, fraud detection, and customer experience, it also creates a new generation of cyber threats that are more sophisticated, Read More …
Artificial intelligence is rapidly transforming banking, NBFCs, insurance, and financial services through fraud detection, customer onboarding, credit scoring, transaction monitoring, and predictive analytics. However, as AI adoption accelerates, so do concerns around governance, explainability, fairness, data privacy, and operational accountability. Read More …
FinTech companies are transforming financial services through faster payments, digital lending, embedded finance, AI driven analytics, and customer centric innovation. However, rapid growth without strong risk architecture can expose institutions to operational failures, cybersecurity incidents, regulatory action, and reputational damage. Read More …
Fill this form to get your Study Guide for the Risk Management for Artificial Intelligence Course As AI systems rapidly scale across sectors, organisations face rising risks-from algorithmic bias and deepfake fraud to regulatory non-compliance and intellectual property theft. This Read More …
Cyber risk failures in banking are increasing as financial institutions rely heavily on digital infrastructure, cloud systems, and interconnected platforms. These failures are not limited to technology issues. They often arise due to weak governance, poor oversight, and gaps in Read More …
Risk landscapes are evolving rapidly as organisations adopt new technologies and operate in increasingly complex regulatory environments. In 2026, risk is no longer confined to traditional financial or operational categories. It is becoming interconnected, dynamic, and difficult to predict. Artificial Read More …
Cyber risk in banking is no longer confined to IT systems—it is a critical business and governance risk that impacts operations, customer trust, regulatory compliance, and financial stability. Increasing reliance on digital banking, cloud infrastructure, APIs, and third-party vendors has Read More …