CRISC Explained: Enterprise Risk Strategies for the Age of AI

AI is no longer a futuristic concept it’s an active driver of enterprise change. However, with great innovation comes significant risk. In this episode, we explore how risk professionals identify, assess, and respond to AI-driven threats. From strategic and operational impacts to the critical need for human oversight, we break down the framework for building intelligent, resilient enterprises.🎯 Key Topics Covered in This Episode:AI Risk Identification: Why AI risk isn't just an "IT issue" but a fundamental driver of enterprise-wide risk.AI as an Enterprise Risk Driver: Categorizing AI risks into Strategic, Operational, Compliance/Legal, and Reputational domains.Bias and Legal Pitfalls: Real-world examples of gender bias in AI hiring and lending tools that led to regulatory penalties.Assessing AI Risk: Using Impact, Likelihood, Velocity, and Control Effectiveness to quantify the "speed" and "magnitude" of AI failures.The Four Risk Responses: How to decide when to Avoid, Mitigate, Transfer, or Accept AI risk based on organizational appetite.Governance & Ownership: Who truly owns AI risk? Defining roles across Business, IT, and Compliance teams.Implementing Controls: A guide to Preventive, Detective, and Corrective controls for the AI lifecycle.Integrating AI into ERM: Why AI risk must be part of your central risk register rather than a siloed technical framework.Continuous Monitoring: The necessity of tracking "model drift" and data accuracy at frequent intervals.🎧 Secure your enterprise's future with InfosecTrain. Advance your career with our CRISC and AI Governance certification programs. Learn to bridge the gap between emerging technology and robust risk management.📽️ Watch the full episode on YouTube: https://www.youtube.com/watch?v=25lAfjw_wvQ