Autonomous Integrity Governance Intelligence System
AI systems make decisions faster than humans can verify them. In regulated, classified, and kinetic environments — where a single wrong call costs lives or missions — reactive compliance isn't enough.
AI-GIS is a deterministic execution layer that sits between your AI system and consequential action. Every decision is verified in real time against policy. Every verdict is cryptographically bound to evidence. Operation continues even when the network is down — for autonomous systems, air-gapped networks, and any enterprise or AI model that requires a strict, mission-critical, fail-closed result.
None of the alternatives prevent the problem. They only document it.
AI proposes an action → AI-GIS verifies it against policy → Verdict (ALLOW | DENY | REMEDIATE) before the action executes. The gate is deterministic and in-process: the action has no path around it.
Lost network connectivity? AI-GIS keeps enforcing policy offline. Verdicts buffer locally and sync when comms are restored. Kinetic environments, classified networks, denied areas — AI-GIS operates everywhere.
Every verdict is signed with Ed25519, timestamped and hash-chained into the Audit Chain with a Merkle root. Anyone holding the public key can verify a record, and any alteration of any record breaks the chain and is detected on verification — evidence built for DoD reviews, regulators and courts.
The AI-GIS deployment profile runs inter-service communication over mTLS with SPIFFE workload identity, so services prove who they are cryptographically instead of presenting shared secrets. Agents are credentialed the same way, and every action is bound to a verified identity before it is allowed.
| Capability | AI-GIS | Cloud Platforms | Compliance Tools | Policy Engines |
|---|---|---|---|---|
| Real-time enforcement | ✓ | ✗ | ✗ | ✗ |
| Air-gapped operation | ✓ | ✗ | ✗ | ✗ |
| Cryptographic audit | ✓ | ✗ | ✗ | ✗ |
| Zero-trust identity | ✓ | ✗ | ✗ | ✗ |
| Deterministic verdicts | ✓ | ✗ | ✗ | ✗ |
| Multi-standard compliance | ✓ | ✗ | ✗ | ✗ |
| AI-specific governance | ✓ | ✗ | ✗ | ✗ |
Single evidence record. Six regulatory frameworks. One platform.
Any organization where AI failure is mission failure.
| Scenario | What Competitors Do | What AI-GIS Does |
|---|---|---|
| Network goes down | Stop working (cloud dependency) | Keep enforcing policy (air-gapped) |
| AI tries to bypass policy | Log it after the fact | Block it before execution |
| Someone asks for audit evidence | "Here’s a log file" (easily forged) | "Here’s a signed, hash-chained verdict" (tamper-evident, independently verifiable) |
| Insider is compromised | Can steal API keys (shared secrets) | No shared secret to steal: short-lived SPIFFE identities, verified on every call |
| Regulator asks about compliance | "We audit for it" (reactive) | "We enforce it in real-time" (proactive) |
Not years of custom development. No cloud dependency — runs on-premises, in Faraday cages, on isolated networks. No agent fatigue — policy is human-defined, version-controlled, cryptographically sealed. No vendor lock-in — built on standard protocols (SPIFFE, mTLS, FIPS crypto).
The AI-GIS technical whitepaper is not published publicly while our patent filings with the USPTO are being updated. A general whitepaper covering the AI-GIS mission, capabilities, and deployment profiles is available to qualified organizations under a mutual non-disclosure agreement.