In this webinar, we explain the operational realities of securing AI-enabled edge environments, from rugged laptops and tactical servers to autonomous systems and ISR platforms. Learn how the rise of distributed AI compute is expanding the attack surface, increasing the risk of battlefield loss, insider threats, credential compromise, and advanced forensic attacks. The session explores the tactical and strategic consequences of endpoint data exposure and explains why traditional enterprise encryption alone is no longer sufficient for protecting sensitive mission data. We also provide an overview of NSA CSfC Data-at-Rest (DAR) guidance, including layered encryption architectures, defense-in-depth strategies, and scalable approaches for protecting classified data across diverse operational environments.
Conner Crisafulli is a solutions engineer and cybersecurity professional at Cigent with a unique background bridging elite military operations and advanced data security. Before joining Cigent, Conner served six years as a U.S. Air Force Combat Controller, where he specialized in high-stakes mission planning, communication systems, and joint operations coordination/execution. Drawing from his experience in complex, contested environments, Conner now helps federal agencies and enterprise clients strengthen their data-at-rest protection strategies. At Cigent, he focuses on practical applications of self-encrypting drives (SEDs), pre-boot authentication (PBA), and various CSfC (commercial solutions for classified) technologies to safeguard sensitive data against evolving cyber threats.