ATP STUDIO™ · ENTERPRISE CONTROL PLANE

Human control for AI agent actions in production.

ATP Studio verifies identity, checks authority and policy, requires human approval when risk demands it, and records every decision through MCP and protocol adapters.

Operator sign-in

DID identity did:atp · ML-DSA-65
Guardian in-path · fail-closed
Evidence evaluation confidence · freshness · scope
Audit evidence hash-chained · driver shown

The problem

Most agent stacks still run on trust, not control.

AI agents can read records, call tools, trigger workflows, and delegate actions. But most teams still rely on model wrappers, prompt rules, and fragmented logs instead of verifiable identity, policy enforcement, and evidence-grade audit trails.

No stable identity

for agents across tools and vendors

Weak policy enforcement

at the moment of action

Poor incident evidence

when an agent misbehaves

How ATP works

A trust layer for agent operations

Issue identity

Give each agent a DID-based identity before it touches tools, APIs, or sensitive systems.

Enforce policy

Route actions through ATP Guardian for synchronous allow, deny, throttle, or review decisions.

Score trust

Track trust over time using policy results, risk signals, and revision events.

Prove what happened

Write auditable events, live streams, and anchored exports for investigation and compliance.

Operator console

One workspace. Your agents, your evidence.

The signed-in console starts with your organization's own agents and activity. Register an agent, verify its identity, and review its requested scopes. As instrumented agents send actions through Guardian, their decisions and audit events appear in your workspace; trust metrics are shown only when there is enforced history to score.

Start with an empty fleet

Enforce actual actions

Guardian evaluates actions your agents submit through an integration and records the decision.

Investigate your evidence

Review tenant-scoped audit events and measured trust. No activity is shown as no activity.

Pro and Enterprise controls remain plan-gated in the console.

Open your workspace

Who it's for

For teams deploying agents in high-consequence environments

Enterprise SaaS

Customer-facing copilots touching records and workflows.

Fintech / payments

Agents interacting with financial operations and approvals.

Security / platform teams

Owners of the controls other teams' agents run inside.

Pilot program

Validate ATP Studio in 14 days

Bring one consequential agent action. We will map its identity, policy, human decision, and evidence requirements around a focused enterprise workflow.

WHAT'S INCLUDED

1–3 agents instrumented
One sensitive workflow
Operator dashboard included
Incident/audit review flow included