Prove7 Control Vector™ is the Agentic Trust Infrastructure for the accountable human — agents act, the Seven Gates hold, and the proof comes back to the person who answers for it.
Pluggable by design — ready for emerging agentic open-interoperability standards.
Partnering with leading providers across Healthcare, Banking, Financial Services & Insurance.
Your first governed, sealed run — on a real workflow, in minutes.
You don't have to rebuild anything to get governed. Pick the on-ramp that matches your world today — Prove7 meets the workflows and agents you already run and wraps them in the Governed Execution Layer.
Your agents already live inside deterministic workflows and security processes. Register the baseline, wrap it in the Governed Execution Layer™ and Data Protection Guards, and begin in observe-only shadow mode — inline policy, data protection, autonomy control, inference control, and a sealed audit trail, with no production change.
You're building net-new agentic systems. Build them governed from the first action: register identity and intent, bind skills through Build · Decide · Act, and route every action through the GEL — so every agent is audit-ready and reconstructable from day one, not retrofitted after an incident.
The three things every agentic security system needs — delivered on a single identity model, policy graph, and sealed record.
The Governed Execution Layer™ wraps every action in a six-phase gate, enforced inline in under 50 ms. The autonomy an agent is allowed adapts to its live trust — earn trust and act; drift and you're held back, automatically.
Every action — and every autonomy change an agent earns — is sealed to one hash-chained, append-only record. Pull any output and the whole history comes with it: inputs, model, policy, lineage. Reconstructable, tamper-evident, verifiable by an outsider.
Agents act only as far as the trust they've earned against a proven baseline — measured continuously, transferred stage by stage, and withdrawn the instant the evidence weakens. Reversible in under a minute.
No black boxes: each engine is named, versioned, deterministic where it must be — and every product runs on the same identity, policy, trust, and sealed record.
Runs agents — 3 execution modes, hard caps, every tool decision gated & sealed.
Adaptive enforcement points; deterministic Rego/OPA — attestable verdicts.
Your policies & framework controls compiled into enforceable rules.
Signed trust graph, live 0–100 score, autonomy earned — and revocable.
Every Agentlet™ carries one versioned graph of everything it can execute — the same graph whether it runs deterministic steps, a cognitive reasoning loop, or a hybrid of both.
One graph, all three modes. Deterministic steps are explicit nodes; the cognitive loop is a first-class node whose reachable tools render as availability edges — you can see exactly what the LLM may touch, under which preconditions, before it ever runs.
Govern behavior by editing the graph: tighten a skill’s callability, drop a human gate before a consequential step, cap iterations and cost on the loop — the runtime honors it on the next call. Versioned. Sealed.
To our knowledge, no other vendor renders — let alone lets you govern — the execution graph of a cognitive agent. It is what makes multi-surface AutoCreate safe: whatever surface you start from, you arrive at the same governable object. Explore the Canonical Execution Graph →
The Prove7 Agent Trust Score™ is recomputed on every run from conformance, weighted violations against intent, your configured controls, and evaluations. Cross a threshold and the agent is promoted; drift below one and it is auto-probated in real time — demoted, with the deterministic path resumed.
Most AI security adapts its filters to the latest jailbreak. Prove7 adapts the level of autonomy an agent is allowed to the trust it has actually earned — measured continuously, enforced inline, and withdrawn the instant the evidence weakens.
Each agent's autonomy tier tracks a live trust score from real behaviour. Earn trust and climb; weaken and you're held back — automatically.
Every action passes the six-phase gate inline in <50 ms — 100% of calls, all the time. Not a nightly scan, not a quarterly review.
A drift in conformance demotes an agent to a lower autonomy level in under a minute, resumes the deterministic path, and pages the team with the sealed verdict.
Every action is sealed and framework-mapped as it happens. Audit isn't prepared — it's queried. The evidence accrues by the second.
Wrap an action with the Prove7 SDK decorator, or route it through the Governed Gateway with a base-URL change. Either way you're governed, scored, and sealed in minutes — with first-class support for the languages enterprises actually run on.
A single, explainable 0–100 score computed from six dimensions of agentic trust. Open, free, and verifiable — the CVSS of the agentic era.
Cryptographically bound, federation-ready.
Scope & entitlement, enforced at runtime.
Every decision reconstructable to inputs.
Gates, overrides, and reversibility in place.
Sealed lineage of model, data, and actions.
Live conformance to bound frameworks.
Prove7 makes the shift from deterministic security workflows to autonomous, agentic systems safe, governable, and provable. We believe the barrier to enterprise AI is not intelligence — it is trust. Our platform measures, transfers, enforces, and proves that trust at every step, on one record, across every framework, cloud, and runtime. We are built by engineers with deep roots in identity, policy, and security infrastructure.
To enable every enterprise to confidently participate in the Agentic Economy — for the benefit of all its stakeholders and shareholders alike.
To be the world's #1 Agentic Trust Infrastructure company — measuring, enforcing, and proving trust for every agent an enterprise runs.
Trust is enforced inline, on every call — not written into a policy and hoped for. Controls live in the path of the action.
Every decision is sealed to a tamper-evident, reconstructable record. Accountability becomes a query, not a fire drill.
Agents act only as far as the trust they have measurably earned, and that trust can be withdrawn the instant the evidence weakens.
Prove7 Control Vector™ is the Agentic Trust Infrastructure for AI agents. Every agent action passes the Seven Gates inside the Governed Execution Layer™, executes against its Canonical Execution Graph, earns its autonomy through the Agent Trust Score™, and lands on a sealed, replayable record. Accountable Autonomy™ — answers as it acts.
See how Prove7 applies to your security workflows and agentic systems, and where it delivers value first.
Every action passes the Seven Gates, ships with its proof, and earns the autonomy it gets.