The threat surface for frontier AI systems isn't theoretical - it's an active intelligence problem. 10a Labs operates as the safety and threat-intelligence layer for frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms. Their work sits at the intersection of adversarial red teaming, model evaluations, and intelligence collection: finding vulnerabilities before they become incidents, and giving security teams the signal they need when the attack landscape shifts.
The technical stack is concrete. Adversarial Red Teaming identifies vulnerabilities and risks in AI systems through offensive testing. Model Evaluations assess the safety and security posture of AI models themselves. Intelligence Collection feeds engineering, safety, and security teams with the data to stay ahead of evolving threats across trust and safety and protection science domains. The underlying work spans investigative research, threat investigation, and the kind of sustained intelligence collection that keeps defenders from being surprised.
The client list - frontier AI labs, critical infrastructure operators, global technology platforms - tells you the stakes. 10a Labs is focused on the problems that emerge when AI systems get deployed at scale into decision-making processes and high-consequence environments. If you work in AI security, red teaming, or threat intelligence and want your work to matter at the systems level, this is the kind of outfit where that happens.
