The AI agent zero trust guide
Why device-and-identity zero trust misses agents, and what to build instead.
Zero Trust Was Built for Humans
Traditional zero trust architectures verify human identity (via SSO, MFA) and device posture (OS version, disk encryption, endpoint agent status) before granting access to resources. This model assumes the entity requesting access is a human sitting at a managed device.
AI agents break every one of these assumptions. They don't authenticate via SSO. They don't have device posture. They run in containers, VMs, and serverless functions. They operate at machine speed, thousands of connections per minute. They need a fundamentally different trust model.
Agent Zero Trust Principles
Default-deny posture: Agents should not have access to the entire internet. Every connection should be explicitly approved. The Greywall enforces this by holding all unknown endpoints for review.
Scoped connectivity: Each agent should have access to exactly the endpoints it needs for its function. An invoice-processing agent needs your ERP and payment processor. A marketing copilot needs your CMS. Nothing else.
Continuous verification: Every connection is verified against policies in real-time. Endpoint trust scores update dynamically based on age, reputation, and threat signals.
Audit: Every connection decision is logged in an tamper-evident change log and Traffic Logs with agent identity, endpoint, timestamp, policy action, and reviewer attribution.
Implement Agent Zero Trust
Learn how Securd provides Agent Zero Trust at the connection layer, with the Greywall providing default-deny posture for all non-human workloads.
Evaluate Agent DNS with your own agent traffic
Deploy on a single policy in learning mode and review the results with your security team.