Defense & national security AI
Autonomy with a record.
When an autonomous system acts, the record of what it did should be as hard to dispute as the action was consequential. The Glacis architecture is designed to produce signed runtime evidence of what an AI system did, what it touched, and which controls ran, while the content itself stays where it belongs.
This page describes the architecture conceptually. A fuller defense brief is available under NDA.
What runtime evidence means here
Designed so your own reviewers can check the evidence.
Tamper-evident operation
The concept: every consequential action an autonomous system takes is recorded as a signed, hash-chained receipt. The chain is designed to show what actually ran, in what order, under which policy. Altering any record breaks the chain, and the break is visible to anyone who verifies it.
Tool-permission boundaries
The concept: local enforcement of what an agent may touch, which tools, which data, which actions, with a signed receipt for every allow, deny, and escalation. In this design the boundary isn’t a configuration claim, it’s a verifiable record.
Verification without disclosure
The concept: receipts carry cryptographic fingerprints, not content. The architecture is designed so a reviewer outside the boundary can verify integrity, ordering, and signatures while prompts, outputs, and operational data stay where they were produced.
This page keeps to the concepts. A fuller technical brief is available under NDA, through the team.
Bring one autonomous workflow.
The 30-day Agent Runtime Security & Evidence Sprint puts live runtime controls on a single named workflow and delivers signed receipts your reviewers can verify themselves at /verify.