Govern the authority behind AI agents

Know who the agent is, control what it can do, prove what happened.

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  • Identity verified
  • Activity recorded as evidence

AI agents are moving beyond answering questions

They can access systems, retrieve sensitive information, invoke tools and take actions on behalf of people and organizations.

That creates a new governance problem:

  1. 01Which agent is acting?
  2. 02What is it authorized to do?
  3. 03Can its actions be trusted afterward?

OpaqAI governs the authority under which AI agents operate

OpaqAI creates a trusted control layer between human intent and agent execution—helping organizations deploy agentic AI without surrendering visibility, accountability or control.

Human intent

“Run October payroll for the Berlin team.”

Payroll lead

OpaqAI control layer

  • Identity

    Every agent is verified before it can act.

    agent · schedulerverified

  • Authority

    Each agent is bound to a defined scope of authority and continuously evaluated against enterprise policy.

    scope · payroll.readtask-bound

  • Evidence

    Actions are recorded as evidence of how the agent was authorized and what it did.

    sig 9f3a…c1recorded

Agent execution

schedulerpayroll.read · 3 fields

Completed 09:41

A governance layer built for the enterprise

OpaqAI is designed to work alongside the AI infrastructure an enterprise already uses.

  1. 01

    Register agents

    Agent registry+ Register

    schedulerregistered

    paymentsregistered

    triagepending review

  2. 02

    Define authority

    scheduler · scopetask-bound

    payroll.readallowed

    salarymasked

    ssnblocked

    expiresend of task

  3. 03

    Enforce policy

    Policy decisionslive

    export all salariesscheduler

    Blocked · P-12

    read 3 fieldsscheduler

    Allowed once
  4. 04

    Record actions

    Record 4821

    agent
    scheduler
    action
    payroll.read
    decision
    allowed once
    time
    09:41:07
    sig
    9f3a…c1

  • Bring-your-own-AI

    OpaqAI governs agent authority rather than model behavior. Organizations can use different models, agent harnesses, SDKs, and orchestration platforms without rebuilding the governance layer around each one.

  • Runs within the enterprise boundary

    Identity, policy enforcement and audit evidence remain within the organization’s governed environment. OpaqAI is designed to integrate with existing enterprise security, data and access controls rather than bypass them.

  • Built to scale with agentic AI

    As enterprises move from a handful of experimental agents to hundreds or thousands of autonomous workloads, governance must scale with them. OpaqAI provides a consistent mechanism for registering agents, defining authority, enforcing policy and recording actions across the environment.

The result is a governance layer that can support agentic AI as it grows from pilot to enterprise infrastructure.

Move faster without losing control

Turn AI governance into an enabler

The value of agentic AI comes from allowing software to do more on behalf of people.

But increased autonomy also increases the importance of identity, authorization and accountability.

OpaqAI allows organizations to fully use AI agents while maintaining control over the boundaries in which they operate.

  • Teams

    Innovate with greater confidence

  • Security leaders

    Gain visibility into agent activity

  • Enterprise decision makers

    Establish clear evidence of how AI systems were authorized and what they did

OpaqAI does not govern what the AI decides. It governs the authority under which the AI acts.

Moises E. Jaramillo Josh Kragness

Built by a team with deep experience in applied cryptography, identity and security architecture, enterprise strategy and AI governance.

Meet the team

Know who the agent is, control what it can do, prove what happened

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