CISO Summit

With large language models and AI systems moving beyond experimentation and into mission-critical operations, organizations face a new generation of security and governance challenges. Traditional cybersecurity controls are insufficient for AI systems, whose dynamic and often unpredictable nature introduces risks across confidentiality, integrity, availability, safety and trust.

In this session, you'll discover how red teaming has emerged as a practical and essential control for AI risk management. We'll explore how adversarial testing techniques can uncover critical vulnerabilities and provide a structured approach to AI red teaming that aligns with modern governance frameworks and integrates seamlessly into continuous testing throughout your AI lifecycle.

Join Dr. Kellep Charles, Cybersecurity Chair and AI Security and Governance Expert at Capitol Technology University, as he bridges the gap between theory and operational practice—showing you how to make red teaming a core pillar of your AI governance strategy.

Key Takeaways
- Understand why traditional security controls fall short for AI systems.
- Identify common AI vulnerabilities, including prompt injection and data leakage.
- Learn how to implement structured red teaming methodologies for LLMs.
- Explore how red teaming aligns with enterprise AI governance frameworks.
- Gain practical strategies for integrating continuous AI security testing into your operations.