As artificial intelligence becomes a core enabler of innovation, it also introduces unprecedented risks to security, compliance, and governance. For leaders and policymakers, understanding these risks isn't just a technical necessity—it's a strategic imperative.

Mike Burch, Director of Application Security at Security Journey, will go beyond the technical details to uncover the policy blind spots, strategic vulnerabilities, and governance challenges introduced by AI at scale, especially when it comes to software development. If you're responsible for guiding AI adoption, managing institutional risk, or shaping regulatory strategy, this is your roadmap to what’s next.

In this session, we’ll explore:
- Where the Gaps Are: Why current security models fall short in the face of a rapidly evolving AI threatscape.
- New Classes of Risk: From prompt injection and model leakage to regulatory noncompliance and shadow AI.
- The Policy Horizon: How global AI regulation is evolving, and what it means for enterprise readiness.
- Building AI Resilience: Practical strategies for embedding security, transparency, and oversight into your AI ecosystem.
- Cross-Disciplinary Governance: Why tech, legal, security, and policy teams must learn to collaborate to respond effectively.