Will AI become the star of cyber defense? In 2026, the more interesting question may be this: who controls AI’s access? As AI agents start writing code, handling tickets, searching internal data, and acting on behalf of employees, security is shifting away from the old idea of guarding only networks or devices. NIST has already responded by launching its AI Agent Standards Initiative in February 2026 and by publishing a concept paper focused on AI agent identity and authorization. The message is clear: before agents can be trusted, they must be identified, limited, and audited like any other powerful user. (nist.gov)
This is why “privileged access” is becoming the key battlefield. Privileged access means special permission to reach sensitive systems, change settings, or read important data. In a zero-trust model, that access should not be given once and forgotten. NIST’s zero-trust guidance emphasizes continuous access evaluation, meaning systems should keep checking identity and risk during a session, not only at login. Microsoft is moving in the same direction: at RSAC 2026, it introduced new security features built around continuous adaptive access and expanded Sentinel as an “agentic defense platform” with tighter access control and governance. (pages.nist.gov)
The business race is now intense. On February 11, 2026, Palo Alto Networks completed its acquisition of CyberArk and said identity security would become a core pillar of its strategy, especially for human, machine, and agentic identities. CrowdStrike also closed its SGNL acquisition on February 20, 2026, adding “continuous identity” technology designed to grant or revoke access in real time based on risk. In its January 2026 announcement, CrowdStrike argued that AI agents act with high speed and high privilege, so old “standing access” models are no longer enough; it also cited IDC’s forecast that the identity security market could grow from about $29 billion in 2025 to $56 billion by 2029. (paloaltonetworks.com)
So yes, AI may become a leading defender—but probably not as a free-moving superhero. The stronger trend is AI inside a stricter security model: least privilege, just-in-time access, and constant re-checking. In other words, the future of cyber defense may depend less on making AI all-powerful, and more on making sure even AI must ask for permission. (pages.nist.gov)









