AI governance that satisfies your auditors

"We need your AI usage logs for the SOC 2 audit — by Friday."

It's a scenario playing out at companies worldwide. Your auditor needs evidence that AI tool usage is governed, logged, and controlled. Without purpose-built tooling, that means scrambling across Slack, querying disparate databases, and manually correlating user events — if you can find the data at all.

FORG captures every AI usage event at the adapter layer — before calls reach the model. Each event is hash-chained immediately, creating an immutable sequence auditors can independently verify.

The audit export runs in 30 seconds. The evidence package includes user attribution, model identifiers, timestamps, rule evaluations, and cryptographic proofs — everything your auditor needs, structured and signed.

Every event includes user identity, model, rule evaluation result, and IP. Hash-chained so any modification is detectable. Exportable in 30s.

• Engineers swap to unapproved GPT-4o mid-sprint — no visibility
• Audit request arrives; scramble for scattered log exports
• No evidence trail for SOC 2 AI usage controls
• GDPR incident: prompt logs stored in vendor infra, undisclosed
• Policy changes require code deploys across 6 repos

• Model allowlist enforced at runtime — unauthorized models silently blocked
• One-click audit export in 30 seconds, cryptographically signed
• SOC 2 evidence package auto-generated with tamper-evident chain
• FORG stores metadata only — prompt content never leaves your infra
• Policy-as-code: update YAML, push to git, propagate in seconds