Aegis Audit Protocol: The Immutable Compliance Layer for Autonomous AI
The Problem: The "Trust Me" Gap in AI Current AI governance is broken. Enterprises are drowning in unverified logs, and auditors are rejecting "AI safety" claims that lack mathematical proof. When an autonomous system acts, there is currently no way to prove what it did, why it did it, and that it wasn't tampered with—until now.
The Solution: Aegis Audit Protocol We built Aegis to bridge the gap between open-source verification and enterprise governance. It is a full-stack architecture that turns "AI compliance" from a manual document-checking process into an automated, immutable audit trail.
Core Components:
EVK-SDK (OSS Primitive): The foundational math. An MIT License library that provides a universal verify() function for AI evidence bundles. It is transparent, tamper-evident, and free forever.
Gemini-Box (Cryptographic Signing): Deterministic ed25519 signature generation and verification for AI execution claims. Gemini 1.5 Pro (temperature 0.0 + strict responseSchema) produces deterministic blueprints; any single-bit mutation collapses verification instantly.
Adversarial Compliance Matrix (The "Find Evil" Edge): Aegis doesn't just log success; it catches drift. Mapping AI outputs against 12 known attack vectors (handoff conflicts, race conditions, prompt injection, register forgery, etc.). If an output
Built With
- ed25519
- evk
- github-actions
- json-schema
- rust
- vercel
- webassembly



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