Security for the
agentic age.
Greywall provides kernel-level isolation for autonomous AI, ensuring your most sensitive infrastructure remains verifiable and auditable.
Bridge the trust gap between models and machines.
To be useful, AI agents require access to critical systems. Greywall ensures that access is mediated by a transparent, auditable layer you control, not a hidden black box.
The Challenge
Deploying untrusted agents on internal infrastructure creates high-stakes risks for data exfiltration and lateral movement.
Our Approach
We enforce security at the kernel boundary, creating an ephemeral sandbox for every session that defaults to total isolation.
Filesystem Isolation
Intercepts every file access at the kernel boundary using Landlock. Agents only see what you explicitly allow.
Network Visibility
Mediates and logs every outbound connection through Greyproxy. Prevents exfiltration to untrusted domains.
Audit & Insight
Boot sessions in < 10ms with zero-overhead virtualization. Get enterprise-grade audit trails on local hardware.
Institutional-grade control.
Built for organizations that prioritize privacy and protocol.
Zero-Trust Execution
Everything is denied by default. Agents only see what you explicitly allow.
Infrastructure Sovereignty
Run Greywall on-premise or in your private VPC. No data ever leaves your control.
Verifiable Privacy
Audit every system call and network request in real-time with full transparency.
Runtime Agnostic
Deploy across any environment—from local dev machines to hardened production clusters.