AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

Advanced AI systems require defined security requirements, enforceable controls, and named owners with evidence of effective protections. As AI capabilities grow, the industry must accelerate security engineering, broaden access to defensive tools, and share successful strategies more rapidly. While technology evolves, core security principles like identity establishment and access control remain unchanged. The new capabilities introduced by AI agents necessitate the application of these principles in new operational contexts, creating pressure on organizations eager to reap productivity benefits.