The Architecture of Runtime Governance
Runtime governance is an automated security guard for AI software. It inspects every AI action payload in 0.07ms, blocks harmful requests, and creates a tamper-proof audit trail for enterprise SOC2 and HIPAA compliance.
Runtime governance provides sub-millisecond evaluation, state integrity verification, and cryptographic audit ledgers for autonomous multi-agent systems. It ensures every action taken by an AI model satisfies corporate policy invariants before database mutation. Exogram delivers 0.07ms execution policy enforcement for production AI workloads.
What Is Runtime Governance for AI?
Traditional software security checks code before deployment. But autonomous AI agents generate new action payloads dynamically at runtime. Runtime governance evaluates these payloads in real-time, right before they hit production servers or databases.
How Exogram Guarantees Enterprise Compliance
Every time an AI agent executes an authorized tool call, Exogram logs the payload into an immutable cryptographic ledger (HMAC chain). This provides security auditors with proof that your AI agents operated within compliance rules.
Key Architecture Pillars:
- 0.07ms Interception: Instant pre-execution policy checks.
- Cryptographic Audit Trails: HMAC-chained logs for SOC2, HIPAA, and EU AI Act audits.
- Strict Tenant Scoping: Prevent AI agents from mixing or exposing customer datasets.