AI is rapidly evolving from simple copilots to autonomous agents capable of making decisions and executing tasks across enterprise environments. As adoption accelerates, these agents expand the attack surface by interacting with identities, APIs, and sensitive data. To mitigate risks, organizations must adopt a secure-by-design approach, ensuring security is integrated into development and deployment rather than treated as an afterthought.
Three core principles define this security strategy: treating AI agents as privileged identities with strict access controls, securing the full AI lifecycle from build to runtime, and utilizing AI-driven analytics to defend against AI-powered threats. By closing the gap in runtime protection and maintaining cross-domain visibility, security teams can effectively scale AI initiatives while staying ahead of modern adversaries.
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