Endpoint AI Governance

Governance for the AI your employees already use.

Put enforceable policy around every AI tool and agent on the endpoint. Define what it can access, what it can do, and what data it can ever see.

Book a demo See how it works

ClaudeChatGPTCursorCopilotAgentsWhatever comes next

Policy CheckUnknown model endpoint blocked

Data BoundaryCredential masked before context

arbiter.session

appAI-enabled app detected

policyEngineering AI Access

file_readallowed · approved directory

secretmasked · token sent to model

networkblocked · unknown model endpoint

auditevent written with policy citation

Find itEvery AI tool and agent on the endpoint.

Govern itAccess, actions, domains, and data exposure.

Prove itAudit trails with policy citations.

The Problem

Your employees are already using AI.

The question is not whether to allow it. The question is whether you can govern it.

Access

AI inherits user accessIf the employee can reach it, the AI tool may be able to touch it.

Vendors

Controls are fragmentedEvery vendor ships different permissions, logs, and blind spots.

Audit

Audit asks are comingWhat did AI touch? Under whose authority? Against which policy?

Risk ZoneUngoverned AI

FilesAPIsSecretsRepos

SaaSAgentsExportData

CursorChatGPTClaudeCopilotCLI agentsBrowser AIInternal appsPlugins

How Indora Works

One governance layer. Every AI tool.

Vendor-neutral control at the endpoint.

01DiscoverFind AI tools and agents across the endpoint.

02Assign policyApply rules by user, role, app, and data type.

03Govern sessionLaunch inside an enforceable control layer.

04Record evidenceCapture every allowed, blocked, and masked event.

Controls

Define what AI can do.

Access. Actions. Domains. Data exposure. Enforced at the endpoint.

Policy on agentsDirectories, actions, domains, data types.

Data boundariesMask sensitive data before the model sees it.

DiscoverySanctioned or not, shadow AI stops being shadow.

Audit trailSession evidence with policy citations.

Blocked before exposure

customer_export.csvprod_secret.envunknown_model_endpointterminal_spawn

Allowed under policy

approved_workspacemasked_identifier_001policy_citationsession_audit_event

Audit Trail

The artifact your auditor actually needs.

Every governed session. Every allowed action. Every blocked attempt. Every masking event.

Session Evidence

session_8842

recording

10:42:03Claude launched under policyallowed

10:42:17Approved directory readallowed

10:43:02Credential tokenizedmasked

10:44:11Unknown endpoint deniedblocked

policy.citation

rulenetwork.model_endpoint.allowlist

decisiondeny

evidencecaptured for audit review

Platform Direction

From local control to AI security operations.

Start by governing approved tools. Expand into discovery, enforcement, visibility, and remediation.

01Governed launchApproved AI tools under policy.

02AI discoveryFind unmanaged AI across the fleet.

03Runtime controlMonitor files, process, clipboard, network.

04Cloud consoleCentral visibility for security teams.

05RemediationRecommend and apply fixes.

Compliance

Give the auditor a record. Not a roadmap.

Indora produces the audit evidence regulators, customers, and internal reviewers are starting to require for AI use of sensitive data.

FAQ

Clear answers for serious AI adoption.

AI tools and agents running on the endpoint: what they can access, what actions they can take, what data they can process, and what gets recorded.

No. Indora governs the tools your employees already use, including Claude, ChatGPT, Cursor, Copilot, and whatever comes next.

Indora helps discover AI tools across your fleet, sanctioned or not, so security can stop guessing.

Only what policy allows. Sensitive data can be masked or tokenized before it reaches model context.

A session record: user, app, policy, allowed actions, blocked attempts, masking events, and policy citations.

No. Data protection is one piece. Indora is built for AI governance, endpoint behavior, agent actions, and audit evidence.

See it in your environment

Thirty minutes. Your tools. Your risk. Our control layer.

We will show how Indora governs the AI tools your team is already running.

Book a demo

Governance for the AI your employees already use.

Your employees are already using AI.

One governance layer. Every AI tool.

Define what AI can do.

Blocked before exposure

Allowed under policy

The artifact your auditor actually needs.

session_8842

From local control to AI security operations.

Clear answers for serious AI adoption.

What does Indora govern?

Do we need to replace our AI tools?

What about shadow AI?

What does the model see?

What do auditors get?

Is this traditional DLP?

Thirty minutes. Your tools. Your risk. Our control layer.