AI is moving from experimentation to execution. What started as copilots is quickly evolving into autonomous AI agents that can make decisions, execute tasks, and operate across enterprise environments. As organizations accelerate adoption of agentic AI, they’re expanding their attack surface in ways traditional security models weren’t built to handle. AI agents interact with identities, APIs, workloads, and data across environments, and attackers who can compromise these agents can also reach an organization’s sensitive resources and assets. This is where a secure-by-design approach becomes critical. Security can’t be layered on after AI agents are in use. It must be built into how AI systems are developed, deployed, and adopted. Industry efforts, including a recent collaboration between CrowdStrike and NVIDIA, are helping define what it means to secure autonomous agents at scale. Three principles stand out.

Full report : Autonomous AI agents are transforming the enterprise, but without built-in security, they introduce risk at machine speed.