Why AI Governance is the Most In-Demand Skill for 2026

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Previously titled “AI Governance & Risk: The CRISC Perspective” — renamed by the publisher on Aug 7, 2026

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Recorded25 Mar 2026

Publisheranchor.fm ↗

Handlerec:17436731

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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

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