Agentic System Broke Governance
We Transformed It.

Real-time, adaptive Trust Infrastructure for the journey from Security Process to Workflow to Agent.

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No rip-and-replaceStart in standby modeReversible in seconds
The Seven Gates
Seven gates separate ungoverned agents from the governed core.
Every external agent must pass through all seven gates to reach the governed core.
Built on open standards
SVIDOPAMCPA2A

Pluggable by design — ready for emerging agentic open-interoperability standards.

Design partners
HealthcareBankingFinancial ServicesInsurance

Partnering with leading providers across Healthcare, Banking, Financial Services & Insurance.

See it on your environment.

Your first governed, sealed run — on a real workflow, in minutes.

Getting started · two on-ramps

Start from where you already are.

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.

If you already run security processes & workflows

Setup Prove7 for Workflows.

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.

BaselinePolicyData GuardsAutonomyAudit
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If you are building agentic systems

Setup Prove7 for Agents.

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.

RegisterBind skillsGovernProve
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One platform · three requirements

Real-time governance. Full-lifecycle provenance. Trust-driven action.

The three things every agentic security system needs — delivered on a single identity model, policy graph, and sealed record.

Requirement 01

Real-time & Adaptive Governance

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.

6-phase pipeline<50ms inlinehuman-in-the-loopdata protection guards
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Requirement 02

Full-lifecycle Provenance

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.

hash-chainlineage to originreconstruct any decisiontamper-evident
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Requirement 03

Continuous & Adaptive, Trust-driven Actions

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.

progressive autonomyreal-time trust scoreauto-demote on driftreversible
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Prove7 : Continuous Trust-Based Actions

Trust isn't a switch. It's a live score — earned run by run, and withdrawn the moment it slips.

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.

Prove7 : Continuous Trust-Based Actions · live
recomputed every run · conformance · weighted violations vs intent · configured controls · evaluations
38/100
Prove7 Agent Trust Score™
Assisted
auto-probated
Autonomy tiers
Autonomous75–100
Supervised50–75
Assisted25–50
Shadow0–25
Each agent starts at a baseline trust and the ring fills as it earns more — then recedes the moment it slips. 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.
Trust moves both ways. Continuous, bidirectional, and reversible in under a minute.
Continuous & adaptive protection

Protection that adapts to earned trust — not just to new attacks.

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.

Adaptive to trust

Each agent's autonomy tier tracks a live trust score from real behaviour. Earn trust and climb; weaken and you're held back — automatically.

Continuous, not periodic

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.

Auto-demote on drift

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.

Continuously compliant

Every action is sealed and framework-mapped as it happens. Audit isn't prepared — it's queried. The evidence accrues by the second.

Threat-intel security asks, “is this input an attack?” Prove7 asks the question that actually governs autonomy: “has this agent earned the right to take this action — and can we prove it?”
Continuous · every call, inline
Adaptive · to measured trust
Reversible · in < 1 minute
Integration · minutes, not months

Drop in protection with one line — in your language.

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.

SDK decorator — annotate any function; identity, policy, trust scoring, and provenance attach automatically.
Governed Gateway — or just change your base URL / MCP endpoint. No rebuild, no rip-and-replace.
Java & C# included — not just Python & JavaScript. The languages of banks, insurers, and government — covered.
Languages: JavaScriptPythonJavaC#cURL
The Prove7 Agent Trust Score™ · an open standard

One number for the question everyone is about to ask: “can we trust this agent?”

A single, explainable 0–100 score computed from six dimensions of agentic trust. Open, free, and verifiable — the CVSS of the agentic era.

Prove7 Agent Trust Score™
78/100
supervised → autonomous-ready
01
Identity

Cryptographically bound, federation-ready.

02
Authorization

Scope & entitlement, enforced at runtime.

03
Explainability

Every decision reconstructable to inputs.

04
Human Oversight

Gates, overrides, and reversibility in place.

05
Provenance

Sealed lineage of model, data, and actions.

06
Policy Compliance

Live conformance to bound frameworks.

Open standard. Free to adopt — like CVSS, DORA, and NIST AI RMF. Ask it of any agent, on any platform.
What changes

From betting on agents to transferring trust to them.

0
production change to begin governing
100%
of calls governed inline, <50 ms
minutes
to integrate — decorator or gateway
<1 min
to auto-demote a drifting step
one query
to reconstruct any decision, sealed
Bound at runtime · proven continuously

Every action mapped to the frameworks you answer for.

SOC 2ISO 27001ISO 42001EU AI ActNIST AI RMFSR 11-7SOX ITGCSLSAHIPAA
About Prove7

Built for the enterprises that must answer for the decision.

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.

Our Vision

To enable every enterprise to confidently participate in the Agentic Economy — for the benefit of all its stakeholders and shareholders alike.

Our Mission

To be the world's #1 Agentic Trust Infrastructure company — measuring, enforcing, and proving trust for every agent an enterprise runs.

Principle 01

Govern at the point of action

Trust is enforced inline, on every call — not written into a policy and hoped for. Controls live in the path of the action.

Principle 02

Prove it, or it didn't happen

Every decision is sealed to a tamper-evident, reconstructable record. Accountability becomes a query, not a fire drill.

Principle 03

Autonomy is earned — and reversible

Agents act only as far as the trust they have measurably earned, and that trust can be withdrawn the instant the evidence weakens.

Built for regulated enterprises
Financial servicesInsuranceHealthcareGovernment & defenseUtilitiesPlatforms building on AI

Govern, prove, and scale your agentic systems — with confidence.

See how Prove7 applies to your security workflows and agentic systems, and where it delivers value first.