December 12, 2024
Malicious actors are taking advantage of AI and the federal government. As a result, we are in a strange Wack-a-Mole game in which applying AI for defense has become so complex that each application seems to require specific skill sets.
Today, we sit down with two leaders of NRLabs to discuss their unique approach to applied AI.
NRLabs leverages the founders’ diverse aerospace engineering and cybersecurity backgrounds to provide innovative solutions, including penetration testing and red team activities.
"we just all see these great startup companies, you look back at Mandiant and Crowdstrike, and they have these great ideas and great products, and they wind up with these big conglomerates . . and they lose their culture "
Individuals can become limited in understanding these nuances. As a result, NRLabs has formed a method called the Cyber Collab, where they meet regularly to offer individual perspectives and applications.
Because of this, they continue research and testing on using localized adversarial AI models to identify vulnerabilities in cloud-based AI platforms.
During the interview, Jon David details exploring opportunities to partner with organizations like CISA’s Joint Cyber Defense Collaborative (JCDC) to enhance collaboration and information sharing on critical infrastructure security.
Here are some recommendations if you liked that interview:
EP 205 – AI, Data, Compute, Algorithm
Why: Discusses AI components in federal applications—an ideal technical companion to Episode 202.EP 206 – An Argument for Enterprise Design for Secure Collaboration
Why: Links the importance of secure collaboration frameworks in AI and complex systems.
