Enterprise AI Governance

Govern every AI system from one control plane.

From discovery and inventory to policy, enforcement and audit.

Clarip brings AI services, autonomous agents, business use cases, risk, policies and enforcement together in one enterprise governance layer.

Know what AI is actually being used. Decide what is approved. Apply guardrails. Enforce policy at runtime. Preserve the evidence your security, legal, privacy and audit teams need.

Governance that moves at the speed of AI.

ENTERPRISE GOVERNANCE / CONNECTED SYSTEM
AI Services AI Agents Use Cases Policies Risk Evidence
01DISCOVER
02INVENTORY
03APPROVE
04CONTROL
05MONITOR
06AUDIT
↓
CLARIP AI GATEWAYRuntime Enforcement
Govern what is actually happening

AI governance starts with reality, not questionnaires.

Enterprise AI changes faster than manually maintained inventories can keep up. Clarip connects governance to observed AI activity so teams can see the services, agents and usage already operating across the enterprise.

DISCOVER

Identify AI services and autonomous agents from actual activity.

UNDERSTAND

Connect usage to users, owners, business purpose, risk and data handling.

CONTROL

Translate governance requirements into enforceable policy.

The governance lifecycle

One continuous system from discovery to evidence.

01

DISCOVER

Find AI services, agents and unapproved usage.

02

INVENTORY

Maintain the enterprise system of record.

03

APPROVE

Define approved services, agents and business use cases.

04

CONTROL

Apply policy by service, agent, user, team, data type and network.

05

MONITOR

Detect violations, anomalies and behavioral change.

06

AUDIT

Preserve enforcement history, reports and evidence.

AI governance should be a living control system — not a point-in-time spreadsheet.

AI inventory + use cases

Know what AI exists — and why the business is using it.

A service name alone is not governance. Clarip connects AI services to approved business use cases, ownership, purpose and organizational context so governance teams can understand how AI fits into the enterprise.

USE CASE

Software Development

Approved

Purpose: Improve developer productivity

AI Services: 1

AI SERVICE

Anthropic / Claude

Approved · Low Risk

Provider intelligence

Data handling / retention / certifications / tracked domains

Policy + guardrails

Turn governance decisions into controls.

Define what can be used, by whom, for what purpose and under what conditions. Clarip applies rules across users, agents, AI services and sensitive data.

RULEFinance team guardrails
SCOPEFinance users + agents
TARGETSensitive data + high-risk services
ACTIONBLOCK / REDACT
STATUSACTIVE
ALLOWBLOCKREDACTWARNRATE LIMIT
Runtime enforcement

Policy is only useful if it can be enforced.

C-AgentsTM and the Clarip AI Gateway connect governance decisions to runtime activity. Policies can be applied as AI interactions occur, rather than discovered after the fact.

Governance Policy
Enterprise rules
C-AgentsTM
Clarip AI Gateway
Runtime enforcement
USERS / AGENTS ↔ AI SERVICES / MODELS

Governance defines the rules. Clarip makes them operational.

Risk + provider intelligence

Understand the services behind the AI.

Maintain context for AI providers and services including approval status, observed usage, risk level, data handling, retention, certifications, tracked domains and regulatory context.

PROVIDER INTELLIGENCE / ILLUSTRATIVE

Anthropic / Claude

Approved · Low Risk
Approval StatusRiskObserved RequestsData HandlingRetentionCertificationsTracked Domains
Monitoring + response

See when governance boundaries are crossed.

Clarip surfaces policy violations, flagged prompts, anomalous activity, unapproved usage and agent behavior so teams can investigate and respond.

Policy Violation
Unapproved AI
Agent Anomaly
Sensitive Data Exposure
Alert Investigate Enforce Evidence
Audit + evidence

Know what happened. Know which policy applied. Keep the evidence.

Clarip preserves enforcement history and governance context so security, privacy, legal and audit teams can understand what occurred and how enterprise policy was applied.

REQUEST OBSERVED

AI interaction enters the gateway

POLICY EVALUATED

Enterprise rule is matched

ACTION RECORDED

Decision and enforcement retained

Governance for the agentic enterprise

AI may be autonomous. Accountability still belongs to the enterprise.

Clarip gives organizations the infrastructure to adopt AI quickly while maintaining visibility, policy, evidence and control.

Turn AI governance into enterprise control.

See how Clarip connects discovery, policy, C-AgentsTM, runtime enforcement and evidence in one platform.