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ENTERPRISE AGENT CONTROL PLANE

Your agents act.
You stay
in control.

One control plane for the tools your agents use,
the actions they take, and the way they improve.

Explore the platformSee how it works
+GOVERN THE ACTION. KEEP YOUR STACK.
FIG. 01THE GOVERNANCE BOUNDARY
INTENTEFFECTYOUR AGENTSYOUR SYSTEMS
+Identity verifiedSCOPED TO THIS ACTION
Decision recordedPOLICY → EFFECT → RECEIPT
ILLUSTRATIVE CONTROL FLOW01 — 06
FROM INTENT TO OUTCOMEGATE / DRIFT / LEARNSCROLL TO EXPLORE
YOUR STACK.
A SHARED CONTROL LAYER.⌘Codex✳Claude Code↗GitHubNNotion≋Temporal
01THE PROBLEM

More agents.
Not more chaos.

Every new agent adds another place to configure tools, grant access and investigate what happened.

DriftGate brings those decisions together. One governance model across your environments, identities and consequential actions.

YOUR AGENT ENVIRONMENT
Coding agentsBusiness agentsCloud workloads
One governance modelIDENTITY · POLICY · EVIDENCE
Tools & APIsKnowledge & contextInfrastructure

Shared governance. Independent identities. Explicit boundaries.

01 / CONSISTENCY

Approved environments.

The right tools and context, with deliberate updates.

02 / AUTHORITY

Scoped actions.

Current identity and policy at the point of use.

03 / EVIDENCE

Explainable outcomes.

A traceable result, not a best guess.

02ONE PLATFORM. SIX PILLARS.

Everything agents touch.
A place to govern it.

Explore all 59 capabilities
01 / T01—T09

Tooling & Environment Control

Bring tools, skills and configuration into one approved environment. Know what should be there—and what actually is.

Explore this pillar
02 / I01—I10

Identity & Policy

Connect every action to an identity, a scope and a current policy. Keep personal access and company authority separate.

Explore this pillar
03 / E01—E10

Execution Governance

Gate consequential actions. Apply approvals and limits. Reconcile uncertainty, and keep an attributable receipt.

Explore this pillar
04 / O01—O10

Observability & Assurance

Trace the path from configuration to decision to effect. See what changed, who acted and which evidence supports the outcome.

Explore this pillar
05 / L01—L10

Lifecycle Management

Review, release, provision, rotate, suspend and retire. Give agent infrastructure a lifecycle, not a collection of loose ends.

Explore this pillar
06 / D01—D10

Data & Context Governance

Control which knowledge reaches which agent. Preserve provenance, isolate context and make sharing a deliberate decision.

Explore this pillar
59 CAPABILITY AREAS. ONE CONNECTED MODEL.See how it fits together
03GOVERN THE MOMENT THAT MATTERS

Before an agent acts,
make the decision yours.

See what happens when an action is allowed, authority changes, or an outcome is uncertain.

SIMULATION
REQUEST → DECISION → OUTCOME

A routine action.
An accountable result.

An agent requests a preview deployment. Evaluate its current authority, execute within scope and retain the result.

  1. 01
    Request receiveddeploy.preview · staging
  2. 02
    Current authority checkedidentity + policy + resource scope
  3. 03
    Effect evaluatedqualified execution boundary
  4. 04
    Receipt retainedan attributable, durable outcome
execution.receiptREADY
01{
02 "execution": "ex_example",
03 "action": "deploy.preview",
04 "scope": "staging",
05 "authority": "not_checked",
06 "decision": "pending",
07 "effect": "not_started",
08 "retry_allowed": false
09}
Ready to evaluate. No external action will be performed.
ILLUSTRATIVE CONTRACT · NOT LIVE TELEMETRY
Qualified boundaries. Not blanket promises.Explore execution governance
04LEARN, WITHOUT LOSING CONTROL

Every run.
A better starting point.

A repeated failure should become a reviewed improvement—not everyone’s recurring problem.

Connect operational evidence to candidate skills, policies and profile changes. Test independently. Review deliberately. Share only within the intended scope.

Explore governed learning
FAILURE → REVIEWED IMPROVEMENTPRIVATE BY DEFAULT
OBSERVED PATTERN

Repeated tool timeout

↓
Candidate skillIndependent testHuman review
↓
APPROVED RELEASEReconcile before retryingAssigned to the intended project. Shared only by choice.

ILLUSTRATIVE LEARNING WORKFLOW

05START PERSONAL. SCALE TOGETHER.

From your next project.
To your agentic enterprise.

FOR DEVELOPERS & SMALL TEAMS
profile engineering
→ tools approved
→ context scoped
→ ready for a new environment
▍

Your AI environment.
Under your control.

Stop rebuilding your setup. Bring an approved starting point to your next supported client or device.

Explore DriftGate SoloFOR PLATFORM & SECURITY TEAMS

Your agents.
Your organization’s rules.

Extend the same governance model to team-owned tools, deployed workloads and organizational policy.

Explore the enterprise platform
06FIELD NOTES

Make the complex
a little clearer.

All resources
DRIFTGATE / FIELD NOTES01
FIELD GUIDE5 MIN READ

What is an agent control plane?

The layer between what an agent proposes and what your systems allow.

DRIFTGATE / FIELD NOTES02
RUNTIME NOTES4 MIN READ

Approval is not permanent authority.

Why an action that waits must check again before it runs.

DRIFTGATE / FIELD NOTES03
ENGINEERING GUIDE4 MIN READ

Unknown is not permission to retry.

A network timeout is a communication result—not an execution result.

BUILD WITH INTENTION

Your next agent.
A better starting point.

Talk about your use caseExplore the architecture