Implementing Zero Trust Cybersecurity Architecture in the Age of AI

Agentic AI systems act autonomously across enterprise environments, making traditional perimeter-based security ineffective. Zero Trust treats AI agents as independent actors with identities, enforcing continuous verification, least-privilege access, and contextual controls across APIs, systems, and data. While powerful, Zero Trust must be implemented thoughtfully to avoid policy sprawl, blind spots, and legacy gaps. When done right, it enables organizations to scale autonomous AI safely—without sacrificing speed, innovation, or trust.