GovernorAIby SentinelLayer Request a briefing
Find and qualify
Discovery & Shadow AIInventory the AI activity nobody registeredAssuranceEvaluate an agent snapshot before production
Decide and enforce
Policy & GovernanceOne policy, from intent to evidenceRuntime EnforcementDecide at the action boundaryInference & Model GovernanceGovern the model call itselfGovern EverywhereOne policy across your AI stack
Prove and observe
Evidence & ComplianceHash-chained audit record, mapped to controlsDecision ObservabilitySee the decision behind the action
Risk and security
RiskScore the action, and act on the scoreContainmentAgent-scoped kill switchesSecurity architectureHow the control plane itself is built
By persona
SecurityPer-call authorization and stop controlsGRCEvidence chains and control mappingPlatform & AI EngineeringGovern without touching the agent
By risk
Shadow AIUnmanaged agents and connectionsData leakageIn prompts, completions and tool callsDestructive actionsChanges to systems of record
By platform
AWS BedrockInbound path, guardrail syncServiceNowWorkflow check, before-write ruleSalesforceNative action gate, governed API routeMCPRegistry, proxy, argument-aware inspection
By cloud and runtime
AzureConnect, discover, govern at the gatewayGoogle CloudValidated connect mode, bootstrap sessionDatabricksModel Serving, egress, agent SDKKubernetes & sidecarIn your cluster, on the agent host

Use cases / Shadow AI

Find the AI nobody registered.Bring it under control.

Uncover AI use, cloud agents and embedded assistants across your existing stack. Bring the right ones under your policies—and control the actions that matter.

Request a briefing Explore the walkthrough
  • Starts read-only
  • Works with the tools you already run
  • You choose when to enforce

From finding to governed action

Illustrative walkthrough · sample data

FINDING · DEMO-1042

Needs review

Found. Not yet governed.

A support-refund agent is present in the AWS account, with no matching entry in the governed agent inventory.

Seen byAWS Bedrock inventory
Next stepReview & register

Start with the finding. Choose the next step under your own review process.

Source-backed evidence.

Agent: support-refunds / us-east-1
Registry check: no matching agent registration
Source record: cloud-7412

Illustrative source records, not live tenant data.

Your stack supplies the signals. Your policy decides what happens next. Follow the finding through a deliberate review to the decision that matters.

The complete cloud-agent example is shown above. Enable JavaScript to explore the other scenarios.

In the product

See the product. Follow the evidence.

A 41-second recording from a demo tenant: source-backed findings, identity context, cloud agent inventory and MCP catalog review, in the console.

Inside GovernorAI/ DiscoveryRecorded demo tenant

Discovery, step by step

Four screens from a recorded demo tenant.

Watch the full 2-minute walkthrough →
Recorded against a demo tenant with seeded activity. Real product screens, not a mock-up.

Four shapes

Four shapes of shadow AI. One path into governance.

Shadow AI is bigger than a chatbot tab. It includes unreviewed data sharing, cloud agents, embedded assistants and developer-added tools—with risks ranging from exposed information to changes in a system of record.

Apps people adopted

An OAuth grant to a new AI app, web egress to a known AI destination, a local model CLI on a laptop.

Read from Okta, Entra ID, Google Workspace, Zscaler, Netskope, Palo Alto, CrowdStrike

Cloud resources nobody registered

Agents, AI accounts and serving endpoints in cloud accounts that no governance covers.

Read from AWS Bedrock, Azure AI and Foundry, Google Vertex AI, Databricks

Agents a business admin switched on

Bots, topics and AI-bearing workflows enabled inside enterprise SaaS and not yet brought into the AI review process.

Read from Salesforce, ServiceNow, Copilot Studio, M365, Workday, SAP AI Core, Atlassian, Slack, Zendesk, HubSpot, n8n

Tools and runtimes developers add

Review MCP provenance and declared capabilities. Bring agent-framework runtimes into the governed inventory.

MCP catalogs and manifests; LangChain, LangGraph, CrewAI and n8n runtime registration

From finding to control

Knowing it exists is not the same as governing it.

A finding should lead somewhere. GovernorAI connects discovery to independent execution governance, so a new finding becomes a decision instead of another orphaned alert.

Keep your stack. Add shared context.

Your tools already see the signals. GovernorAI reads them, correlates them with identity, cloud and SaaS inventories, and compares the result with your own registry. The source evidence stays attached to every finding.

Existing tools, reviewable findings

Your policy decides what happens next.

Take a reviewed agent into governed execution under your rules: allow, deny or hold for approval on model calls, MCP tools and business actions. Author natively, or keep your existing OPA/Rego process and repository.

Your policy, controlled execution

Show the decision, not just the detection.

Each enforced action is recorded with the policy decision and its reason. Security and compliance see what was decided and why, from the source finding to the held refund.

Policy decision, recorded

DiscoverFind unregistered AI, read-only.
AssureEvaluate the agent snapshot.
GovernApprove the rules it runs under.
EnforceDecide at the action boundary.
ProveReview the decision evidence.

You keep policy authority. Keep your existing OPA/Rego repository and review process, or author native rules. Connect the policy identity to the actions it decides.

Your existing stack

Start with the stack you already run.

Bring existing source signals and platform inventories into one reviewable picture. Keep your security tools, identity provider and LLM gateway in place.

SIEM & log feeds

Splunk · Microsoft Sentinel · Datadog · existing log pipelines

Network & endpoint

Zscaler · Netskope · Palo Alto Networks · CrowdStrike

Identity & SaaS audit

Okta · Microsoft Entra ID · Google Workspace · Microsoft 365

LLM gateways

LiteLLM · Portkey

Read gateway telemetry without replacing the gateway.

Direct platform connections

AWS Bedrock · Microsoft Azure · Google Vertex AI · Databricks · Salesforce · ServiceNow

A coverage view that points to the next step.

See which sources are reporting, which need attention and which are ready to connect.

Explore Discovery integrations
Illustrative workspace · sample states
Identity feed
Reporting
Endpoint feed
Needs attention
Gateway feed
Ready to connect

Start read-only. Connect one source, review its findings and decide which workflow to govern next.

Reasons and inventory

Every finding carries the reason that produced it.

Inspect the machine-readable reason, observing sources and event references behind a finding. Give security and compliance a reviewable trail—not just an unexplained score.

knownregistered_in_model_registry

Matched against your own registry, not a vendor allow-list.

likely_shadowai_product_fingerprint_no_governance

A known AI provider with no governance coverage found. This is the shadow-AI row.

unknownunknown_endpoint

AI-tagged signal to a destination that matched no product. Queued for triage, never asserted as shadow.

suspected_autonomous_loopcadence

A timing-based signal for review, kept separate from destination classification. Cadence alone is not proof that an activity is an AI agent.

Classification integrity, by design. If the registry cannot be read, GovernorAI withholds classification rather than inventing a shadow finding. Missing context does not become a confident label.

An inventory you can hand to an auditor.

Export an AI bill of materials as JSON or PDF. A content hash fingerprints the snapshot so it can be checked against a retained reference.

Illustrative export summary · not an API payload

AI inventory snapshot

Inventory
Registered agents and models
Governance
Policy and review context
Export
JSON or PDF
Integrity
Content-hashed snapshot

For governed actions, inspect the separate decision record.

Explore decision evidence

Questions

A few practical questions.

Is shadow AI just employees using chatbots?
No. It includes employee AI apps, unregistered cloud resources, embedded SaaS assistants and developer-added tools. GovernorAI brings findings into review and connects approved workflows to policy-governed execution.
We already run Zscaler, Netskope or a SIEM. Why add GovernorAI?
Keep them. GovernorAI brings their signals together with identity, cloud and SaaS inventories. Your team reviews the findings, applies its own policies and inspects decisions on governed actions. The value is independent execution governance across your existing stack.
Does discovery intercept traffic or automatically block AI?
No. Discovery reads source records and platform inventories. Your team chooses what to review and register. Enforcement is a separate, deliberate step enabled for a reviewed workflow.
Can we keep our OPA/Rego policies?
Yes. Keep your repository and review process, or author native rules. Connect policy identity to runtime decisions and their evidence.
Can we begin with one source and one workflow?
Yes. Start with a source you already run and one consequential workflow. Agree the success criteria, review discovery results and evaluate policy controls before wider rollout. The six-week design-partner evaluation provides a focused path.

Start read-only

Find your first gap. Prove the path to control.

Bring one source you already run and one agent workflow that matters. We scope a read-only start and agree what a six-week evaluation should prove.

What the evaluation works toward

  • A reviewable AI inventorySource evidence and a prioritised worklist of governance gaps.
  • One governed workflowYour policy, exercised against the actions that matter.
  • Evidence your team can inspectMeasured control outcomes and the decision records behind them.
Request a briefing The six-week evaluation →

Continue

Discovery & Shadow AIInventory the AI activity nobody registered Policy & GovernanceOne policy, from intent to evidence Runtime EnforcementDecide at the action boundary AssuranceEvaluate an agent snapshot before production SecurityPer-call authorization and stop controls GRCEvidence chains and control mapping