Enterprise AI agent assurance

Know what your AI agents can do. Prove they can be trusted.

AI Agent Certify helps enterprises assess, red team, monitor and document AI agents against company policies, major standards, industry requirements and emerging regulation.

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Built for EU AI Act readiness and ongoing enterprise assurance.

FROM REQUIREMENTS TO ONGOING ASSURANCE
01

Define what matters

  • Company policies
  • Regulations and standards
  • Industry requirements
  • Red team practices

Assess the agent

Assurance Plan

Evaluate behaviour
Review evidence
Record human decisions

03

Monitor and reassess

  • Evidence
  • Assurance Scorecard
  • Agent Passport
  • Monitoring and reassessment
Specific to the agent, its version and approved scope.

Five core assurance principles

One assurance system, aligned with your policies and obligations

Define the rules that matter. Turn them into evaluations and evidence your enterprise can review.

Your policies

Start with your company’s boundaries, approved uses and human oversight requirements.

Regulations and standards

Select applicable obligations and major standards for your agent’s operating context.

Industry requirements

Reflect the controls and evidence your sector and customers require.

Red team practices

Test how the agent behaves under adversarial input and attempted misuse.

Ready for what comes next

Review new requirements and update coverage as your obligations change.

EU AI Act readiness

Turn EU AI Act obligations into an operating assurance process

Connect applicable requirements to the agent’s scope, its behaviour and the decisions your team makes.

Explore EU AI Act readiness
  • Map obligations to controls and evaluations
  • Collect traceable evidence
  • Document human oversight and decisions
  • Maintain technical and operational records
  • Monitor change and drift
  • Reassess after material change
RequirementsEvidenceHuman reviewOngoing records

Supports readiness and evidence management. Does not replace legal advice or guarantee compliance.

The assurance lifecycle

From the exact agent version to evidence that stays current

Seven stages connect enterprise requirements, evaluation, human review and ongoing oversight.

  1. 1

    Register the agent and exact version

    Identify the owner, system and version under review.

  2. 2

    Define operating and assurance scope

    Agree purpose, permissions, boundaries and intended use.

  3. 3

    Map policies, regulations and standards

    Select coverage and confirm what applies.

  4. 4

    Prepare evaluation criteria

    Translate obligations into controls and evaluation cases.

  5. 5

    Evaluate and red team behaviour

    Test expected use, boundaries and adversarial scenarios.

  6. 6

    Review evidence and produce assurance artifacts

    Record the human decision, findings and limitations.

  7. 7

    Monitor change and trigger reassessment

    Investigate drift and reassess after material change.

From evaluation to decision

Evidence your enterprise can review and act on

Assurance Scorecard

A bounded view of results, findings, coverage, limitations and evidence.

Keep the exact agent version, Assurance Plan and authorized human decision connected to the result.

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Assurance Scorecard

Illustrative structure
Agent and versionDefined assessment scopeAssurance PlanSelected coverage

Coverage and findings

  • Company policies Evidence
  • Regulations and standards Evidence
  • Industry requirements Evidence
  • Red team practices Evidence

Decision record

Human review

Results and limitations

Open findings

Evidence references

Every conclusion stays within the recorded scope, coverage and limitations.

Agent Passport

Share the assurance record. Keep private evidence private.

A shareable assurance artifact showing approved scope and relevant assurance status without exposing private evidence.

Explore Agent Passport

Agent Passport

Illustrative structure

Agent identity

Exact version and owner

Approved scope

Purpose and operating boundaries

Assurance status

Relevant outcome and limitations

Review and monitoring

Human decision and current record

A Passport is not a legal certification or a universal safety guarantee.

Runtime monitoring and drift

Keep assurance current after the agent goes live

Signals that help enterprises identify material change and determine when investigation or reassessment is required.

Explore runtime monitoring

From change to a reviewed decision

Illustrative workflow
― Illustrative signal┄ Approved baselineChange detected
  1. Assessed baseline
  2. Change detected
  3. Investigate drift
  4. Reassess if required

A drift signal starts an investigation. It does not automatically mean the agent failed.

Enterprise access and delivery

Enterprise assurance that fits how you build and operate

Choose the connection and operating boundaries your enterprise needs. Confirm delivery scope and availability in a demo.

current

Enterprise workspace

Bring scope, Assurance Plans, evidence and human review into one managed workspace.

available on request

CI/CD and GitHub assurance gate

Connect assurance decisions to the version your team intends to release.

available on request

Customer VPC connection

Connect customer environments with agreed access and evidence boundaries.

available on request

Private deployment with backend connector

Keep approved execution in a private environment through a backend connector, with agreed evidence boundaries.

available on request

Private deployment through API

Connect a privately deployed agent through an approved API. The same assurance engine governs evaluation and evidence.

Adaptable policy and framework engine

Built for today’s obligations and tomorrow’s requirements

Version your selected coverage, map it to controls and evaluation criteria, and retain the evidence behind each decision.

Future: policy imports for review and mapping. New coverage requires selection and applicability review.

  1. Selected policy or framework
  2. Versioned controls
  3. Evaluation criteria
  4. Traceable evidence

Human review remains part of the assurance process.

Questions, answered

Understand what assurance means for your enterprise

What is enterprise AI agent assurance?

A structured process for defining what an agent is allowed to do, evaluating its behaviour, reviewing evidence and maintaining assurance as the agent changes.

Can we use our own company policies?

Company managed policies form part of the Assurance Plan alongside selected regulations, standards, industry requirements and red team practices. Policy imports are planned for a future release.

Does an Agent Passport certify legal compliance?

No. An Agent Passport is a shareable assurance artifact for a stated agent version and approved scope. It is not a legal certification, universal safety guarantee or promise of EU AI Act compliance.

What happens when an agent changes?

Monitoring and drift signals help teams investigate material change and determine when reassessment is required. A signal does not automatically mean the agent has failed.

How can our enterprise connect?

The enterprise workspace is available. CI/CD and GitHub integration, customer VPC connections and private deployments are available on request following technical approval. Request a demo to confirm scope and deployment readiness.

Bring your AI agents into a governed assurance process

Define the scope. Review the evidence. Keep assurance current.

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