Outborn Agent Platform

Agent Platform · Governance

กำกับ AI และ Agent โดยไม่แยกนโยบายออกจากการทำงาน

กำกับ AI Agent โมเดล ข้อมูล และแอปด้วย inventory นโยบาย การอนุมัติ หลักฐานต่อเนื่อง observability และการตัดสินใจที่ตรวจสอบได้

GOVERNED ACTIONAI agent requests customer data
ACT–1042
01DiscoverResource + owner + lineage
02DecideAllow · deny · approve · review
03ProveDecision + durable evidence
Evidence recordedPolicy decision, reviewer context and outcome stay queryable together.
Outborn Governance · Features

Policies people can see. Controls teams can use.

Bring access, application policy, approval, and audit evidence into one governed operating view.

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Policy

Central policy controls

Set the boundaries for applications, data, and connected actions in one place.

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Access

Identity and access reviews

Give owners a clear view of who has access and what needs review.

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Apps

Governed applications

Track which products are connected and how they inherit organizational rules.

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Approve

Reviewable approvals

Route sensitive changes to the right person before they take effect.

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Evidence

Audit history

Keep decisions, policy changes, and access events available for review.

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Protect

Clear operating boundaries

Make permitted access and protected actions understandable across teams.

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Explore every Outborn Governance featureBring access, application policy, approval, and audit evidence into one governed operating view.

AI + AGENT GOVERNANCE CONTROL PLANE

Inventory every AI system. Put policy in the path. Keep the evidence.

Outborn Governance connects agents, models, data, applications, policy, infrastructure and decision evidence so governance stays continuous and close to execution—not in a spreadsheet reconstructed after the work is done.

OwnershipLineageQualityPrivacyAI riskResidencyPostureEvidence
ONE GOVERNED GRAPHData · AI · Infrastructure · Decisions

01 / REQUEST

Agent ConnectAgent requests a governed action
Connected contextResource, owner and lineage
OUTBORN GOVERNANCEEvaluate policyScope · risk · approval

03 / OUTCOME

Allowed actionScoped execution proceeds
Decision evidenceOutcome stays traceable
People review consequential actions; Agent Connect executes only within the approved scope.

FROM DISCOVERY TO EVIDENCE

Governance should begin before the action—not after the incident.

Context and policy travel with a resource from discovery through decision and into durable evidence, so teams do not have to reconstruct the story later.

  1. 01 · Resource

    A governed resource is discovered

    Data, knowledge, AI, applications and infrastructure enter one governed graph with stable identity and business context.

  2. 02 · Signals

    Risk and responsibility stay attached

    Ownership, lineage, quality, classification, privacy, environment, posture and AI risk are evaluated together.

  3. 03 · Decision

    Policy decides the next path

    A consequential action can be allowed, denied, sent for approval or held for review before it crosses a governed boundary.

  4. 04 · Evidence

    The decision becomes durable evidence

    The outcome, policy decision and supporting context remain available to operators, governance teams and auditors.

CONTINUOUS AI GOVERNANCE

One place to discover, decide, observe and prove.

01

Discover

Know what exists

Inventory governed data, knowledge, AI and infrastructure with ownership, classification, lineage and lifecycle context.

02

Understand

See the relationships

Connect technical lineage to business meaning, responsible people, policies, decisions, evidence and outcomes.

03

Govern

Put policy in the path

Evaluate access, privacy, residency, AI risk and consequential actions before work crosses a governed boundary.

04

Observe

Watch posture and drift

Track quality, SLOs, infrastructure posture, change, missing resources and durable governance events over time.

05

Control AI

Bound models and agents

Govern model and agent inventory, risk, evaluations, data access, human oversight and action boundaries.

06

Prove

Keep the evidence

Preserve policy decisions, reviews, exceptions, control tests and the record that explains what happened and why.

CLEAR TRUST BOUNDARIES

Each layer owns the responsibility it should.

Governance becomes safer and easier to reason about when identity, policy state, provider credentials and provider execution do not collapse into one service.

01
IDENTITY

Outborn Account

Human identity, membership and tenant selection stay with the shared identity layer.

02
POLICY + EVIDENCE

Outborn Governance

Governance owns policy state, topology, observations, decisions, evidence and audit.

03
CREDENTIALS + EXECUTION

Outborn Agent Connect

Provider credentials and provider-side execution remain in the connection layer instead of being copied into Governance.

DESIGNED FOR AI, AGENTS, DATA + INFRASTRUCTURE

Govern models and agents without separating policy from execution.

01

AI agent governance

Maintain model and agent inventory, ownership, risk, evaluations, data access, human oversight and action boundaries.

02

Data governance

Catalog, glossary, lineage, ownership, certification, quality and data-product context.

03

Privacy & access

Classification, purpose, retention, access decisions, periodic review and auditable reasoning.

04

Infrastructure

Environments, resource graphs, drift, posture evidence, SLOs, resilience and residency.

05

Policy & compliance

Controls, tests, exceptions, evidence and audit readiness without a second source of truth.

06

Decision memory

Goals, projects, outcomes, assumptions and source-backed evidence around important decisions.

OUTBORN GOVERNANCE

Continuous AI governance for the systems that can act.

Start with the governance problem that creates the most operational friction, then connect the controls that need to stay true as the organization changes.

HUMAN APPROVAL IN THE LOOP

The agent prepares the change. Your team approves it.

Connected actions stay reviewable. When a deployment needs approval, the request goes to the team’s Agent Connect approval flow before it can run.

Outborn AIConnected to Agent Connect
Approval stays in your workspace

Deploy the service to production now.

Outborn AI

Your approval here is noted, but the Outborn Agent Connect connector still requires the proposal to be approved inside its own approval UI before the deployment can execute.

Use proposal 0c4af2c3-7ad9-4dfd-8125-cc25cb6d8a5b in Outborn Agent Connect → Approvals / Pending proposals, approve “Proposed Deploy service”, then tell me approved there and I’ll continue the DB/state migration immediately.

Message Outborn AI…

Review connected actions in their source application before execution.

IN AGENT CONNECT

The approval lives with the proposal.

Open the pending change in Agent Connect to review its scope, impact and approval status.

Proposed Deploy servicePending change · Agent Connect approvals
Outborn Agent Connect change proposal screen for Proposed Deploy service, showing a pending deployment request and an Approve change button