VORION provides the infrastructure to bind AI agents to verifiable human intent. Real-time trust scoring, capability gating, and immutable audit trails.
Think of it like a credit score for AI. Just as banks use credit scores to decide loan amounts, AI governance uses trust scores to decide what an AI agent can do.
An AI agent wants to do something—send an email, make a purchase, access data. Every action has a risk level.
The system checks: "Has this AI earned enough trust for this action?" New agents start with low trust and must prove themselves.
High trust? Approved. Low trust? Denied or escalated to a human. Everything is logged for compliance.
Trust is earned through consistent good behavior and lost quickly through failures. Every agent's trust history is bound to their unique CAR ID.
AI agents are deployed without governance infrastructure, creating compliance and security risks.
AI agents operate without trust boundaries, making unrestricted decisions with no accountability.
Enterprises can't prove what AI did, when, or why—a compliance nightmare.
No standard way to measure, verify, or communicate how much trust an AI agent has earned.
Built on the BASIS open standard, implemented via the CAR client (@vorionsys/car-client) — TypeScript types and contracts you install from npm.
0-1000 credit-score model with 8 discrete tiers (T0-T7). Weighted across observability, capability, behavior, and context dimensions.
Every action is checked against trust level. Insufficient trust? Request denied, escalated, or degraded automatically.
SHA-256 hashed audit trail with cryptographic verification. Every decision is provable, every action is traceable.
prf_a7b2c9d4e5f6...Trust isn't permanent. Scores decay over time, with 3x accelerated decay after failures. Continuous good behavior required.
Watch how Vorion governance evaluates and governs AI agent actions in real-time.
Four layers, one mission: safe autonomous AI. Register, parse, check, log, anchor.
Open standard for AI governance. The rules every agent must follow.
Categorical Agentic Registry. Every agent gets a unique CAR ID — trust scores, capabilities, and audit history bound to one identity.
Enforcement runtime for AI actions. Validates against policies and gates execution in real-time.
Immutable audit trail for AI decisions. Every action is logged, hashed, and anchored for compliance.
“BASIS sets the rules. CAR identifies the agent. Cognigate enforces the decisions. PROOF keeps the receipts.”
Callback-based integration means no architectural changes required.
import { TrustBand, TRUST_THRESHOLDS } from '@vorionsys/car-client';
import { createTrustEngine } from '@vorionsys/atsf-core';
const engine = createTrustEngine();
await engine.initializeEntity('agent-001', TrustBand.T2);
// Your existing code - unchanged
const callback = engine.createCallback('agent-001');
await agent.invoke(input, { callbacks: [callback] });Interested in AI governance for your organization? Let's talk.
npm install @vorionsys/car-client