2025-08-05 –, Diamond
As AI systems become integral to enterprise operations, effective governance is essential to mitigate associated risks. This hands-on workshop offers a comprehensive introduction to AI governance, focusing on AI system lifecycle oversight, alignment with frameworks like the NIST AI RMF, and compliance with regulations such as the EU AI Act. Participants will engage in a guided tabletop exercise simulating a real-world AI incident, fostering collaborative response strategies and practical risk mitigation planning. Attendees will leave equipped with actionable insights and tools to implement responsible AI governance within their organizations.
This workshop is designed for security professionals, risk managers, and compliance officers seeking to understand and apply AI governance principles. The session begins with an overview of AI governance fundamentals, including risk assessment, policy development, and regulatory compliance. The latter half involves a tabletop exercise where participants navigate a simulated AI incident, encouraging the application of learned concepts in a controlled environment. The workshop emphasizes interactive learning, providing participants with templates, checklists, and a practical playbook for managing AI risks.
Chris is the CEO of Fire Mountain Labs, leading the company’s mission to advance safe and assured AI. Under his direction, Fire Mountain Labs delivers pioneering AI assurance solutions to enterprise and government clients, ensuring AI systems are deployed with security, integrity, and accountability.
With over a decade of experience in AI and AI Security, Chris has coauthored 23 publications in the field and brings deep technical and operational expertise. A veteran of Active Duty U.S. Navy service, Chris also brings deep expertise from Space and Naval Warfare (SPAWAR) Systems Center Pacific, the Naval Information Warfare Center (NIWC), the MITRE Corporation, and several successful AI startups. His background spans operational technology, national security, and cutting-edge AI innovation.
As a trusted voice in the AI ecosystem, Chris operates as an honest broker, bridging government, industry, academia, and small organizations. He advocates for AI adopters navigating a crowded and hype-driven landscape, championing pragmatic, secure, and trustworthy solutions.
Before founding Fire Mountain Labs, Chris held senior leadership roles in AI security research and red teaming, where he shaped industry standards in AI risk assessment, penetration testing, secure AI governance, and adversarial threat modeling.
Dr. Josh Harguess is the Chief Technology Officer of Fire Mountain Labs, where he drives the company’s technical vision and leads advancements in AI security and assurance. Prior to joining Fire Mountain Labs, Josh was the first Chief of AI Security at Cranium AI, a global leader in AI Security products, where he led AI and AI strategy, and the R&D, Engineering, and AI Security departments. Previous to Cranium, Josh was a Senior Principal AI Scientist and department manager at MITRE, shaping national AI security strategies and developing cutting-edge adversarial machine learning defenses. His research has focused on ensuring the reliability, safety, and resilience of AI systems deployed in mission-critical environments. Josh has authored numerous publications on AI risk, trust, and adversarial robustness, contributing to industry frameworks such as MITRE ATLAS and NIST AI RMF. Throughout his career, he has led high-impact AI security programs funded by the Department of Defense, Department of Homeland Security, and major private sector stakeholders. With a strong foundation in AI risk assessment and safe AI deployment, Josh ensures Fire Mountain Labs remains at the forefront of AI security innovation, delivering solutions that enable organizations to deploy AI with confidence.