The Product
Avarion — Enterprise Code Governance for AI Agents
Core principles that guide everything we build
Evidence-First, Not Policy-First
(Hermetically enveloped proofbundles that are cryptographically signed)
Controls must generate verifiable, audit-ready evidence of AI activity — not rely on static guidelines or self-attestation.
Deterministic by Design
(No AI governing AI)
Probabilistic systems cannot be governed probabilistically. AI-assisted changes must be reproducible, replayable, and inspectable.
Provenance Over Explainability
(Universal Code Agnostic Mathematical Timestamps)
Knowing what happened, when, and why is more defensible than post-hoc explanations or narratives.
Risk-Proportional Control
(Tenants control and customize their risks at repo level or org level)
Unknown provenance is managed at tenant level, not banned — with stricter controls in high-impact pathways and flexibility elsewhere.
Zero-Knowledge, System-Level Governance
(ByteVerity never reads proprietary code, we just need hashes)
Controls operate across code, decisions, and processes without reading proprietary code, and evolve as systems change.
ByteVerity turns AI-driven uncertainty into bounded, auditable, and defensible enterprise risk.