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 …
Tag: AIrisk
Generative AI in Banking: Managing the Risks of LLMs, Hallucinations, and Data Leakage
SEBI cyber-suraksha ai Task Force 2026: Combating AI Driven Threats
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 …
RBI’s FREE AI Framework 2026: 7 Sutras and Practical Implementation Roadmap
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 …
Emerging Risks in 2026: AI, Cyber Threats, and Regulation
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 …