AI Risk in Finance: Controlling What You Can't Predict

Welcome to the world of AI Risk in Financial Services, where the challenges are not just technical - they’re regulatory, operational, reputational, and business critical. In this episode of InfosecTrain TechTalks: Real World Decoded, host Anas Hamid sits down with Ekta Goyal, an Enterprise Risk Management Expert for the APAC region, to explore how modern financial institutions manage the unpredictability of artificial intelligence when traditional control models no longer fit.The "course titled" AI Governance and Risk Management Training is a critical asset for professionals navigating this shifting landscape. We pull back the curtain on the real-world governance gaps that standard checklists ignore, analyzing the direct compliance implications for financial institutions. Learn how to move past static risk frameworks and implement dynamic enterprise controls and decision-making structures built specifically for non-deterministic AI models.📘 What You’ll Learn:The Financial AI Challenge: Understanding the structural operational and reputational risks introduced when deploying machine learning models in banking and fintech.Hidden Governance Gaps: Pinpointing the systemic vulnerabilities that traditional IT auditing models fail to catch when assessing complex algorithms.Regulatory Compliance Realities: Navigating the strict global compliance landscapes and risk mandates governing automated financial decisions.Predictive Control Frameworks: Practical strategies for risk teams to build guardrails around models that adapt, drift, and change over time.Enterprise Risk Strategy: How executive leadership can build actionable decision frameworks that balance AI innovation with fiscal safety.🎧 Essential listening for professionals working in Risk, GRC, Compliance, Financial Services, AI Governance, or Cybersecurity.Watch Video here: https://www.youtube.com/watch?v=oKV45p_5jrY