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AI Governance Platform

Govern AI Use Before It Becomes a Risk

From shadow AI discovery to real-time usage control, ensure every AI tool in use is visible, approved, and aligned with your security and compliance policies.

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AI Governance: Enable Safe AI Adoption Without Losing Control

Imagine: Someone on your team just started using a new AI tool. It wasn't approved, nobody reviewed it, and it has access to sensitive company data. Meanwhile, AI features are quietly activating inside tools you already pay for, and nobody knows they're on.

Without CloudEagle

Employees access AI tools independently with no visibility into what's approved or permitted.
IT and security teams find out about AI tool usage only after something goes wrong.
AI usage policies exist on paper, but can't be enforced at the point where behavior happens.
Sensitive data flows through unapproved AI tools with no audit trail or oversight.
Result: AI adoption moves fast, governance lags behind, and compliance gaps quietly stack up.

With CloudEagle

Every AI tool in use across the organization is automatically discovered and visible in one place.
When employees try to access an unapproved AI tool, a real-time flash page redirects them to the approved alternative.
AI usage is continuously monitored and enforced against your approved tool list
Every AI access event is logged and audit-ready, no manual evidence collection needed
Result: Controlled, compliant AI adoption that balances innovation with security and trust.

Benchmark Your SaaS Maturity

See how well your SaaS stack performs across cost, risk, and efficiency

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Cost Optimization

Analyze SaaS spend efficiency and license usage

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Governance & Security

Evaluate access controls and compliance readiness

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Automation & Efficiency

Assess onboarding, offboarding, and workflow automation

Shadow AI Risk Asessment Calculator

How much risk is your shadow AI creating right now?

Employees are adopting AI faster than security can track. Answer 10 questions to uncover your exposure score.

10 questions ~4 min Instant report

Takes 4 minutes  ·  No signup to start

Select "Save as PDF" in the print dialog to download your report.

Shadow AI Risk Report  · 

Your Exposure Score

/100


Risk Dimension Breakdown

Data Leakage

Governance

Compliance


Executive Summary

What this means for your organisation

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Your Risk Areas

Identified Risk Areas

The areas below scored 1 or 2 in your assessment. Each represents a specific maturity gap with a clear first action.

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How CloudEagle Can Help

Closing the Gaps

CloudEagle is the AI-powered control plane for SaaS, identity, and AI governance — trusted by enterprises like RingCentral, Automation Anywhere, Shiji, and Rec Room. The platform has processed $20B+ in spend, delivered $2B+ in customer savings, and connects via 500+ direct integrations. The exposures identified in this report sit directly within what CloudEagle was built to govern.

Discover Every AI Tool, Sanctioned or Shadow

Most organisations discover Shadow AI after an incident. CloudEagle maintains a real-time inventory of every AI tool in use by correlating SSO, browser extension, firewall, and finance data against a proprietary AI application catalog (the SaaSMap). Discovery is continuous rather than periodic — when a new AI tool is adopted, you know within hours, not at the next quarterly audit.


Enforce AI Governance, Don't Just Document It

A policy that exists only on paper is not a control. CloudEagle enforces your AI acceptable use policy technically — monitoring what data enters AI tools, blocking sensitive content from reaching unmanaged applications, and presenting flash pages that redirect users to approved alternatives. PII detection, approval workflows, and a complete audit trail are built in, producing the kind of defensible governance regulators and boards now require.


Govern the Full AI Lifecycle, Not Just the Login

AI tools carry the same lifecycle risks as any SaaS application — plus a few unique ones (non-human identities, API tokens, usage-based billing). CloudEagle brings AI into the same control plane as your broader SaaS estate: spend tracking, license right-sizing, access reviews, compliance scope, and automated offboarding. When an employee leaves, their AI access — including tokens and personal-account logins — is revoked alongside everything else.

Book a Shadow AI Audit

In a focused 30-minute session, a CloudEagle specialist maps your specific exposure against our governance framework and shows what defensible AI governance looks like for your environment. No generic demo, no obligation.

cloudeagle.ai/book-a-demo
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Customer Spotlight:
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“Once AI adoption accelerated across teams, visibility alone wasn’t enough. We needed clear rules around who could use AI tools, under what conditions, and how those decisions were enforced and reviewed. CloudEagle helped us move from ad-hoc approvals to structured, defensible AI governance.”
- Aditya Khosla, CTO, Iterative Health
Read Success Story
Aditya Khosla, CTO at Iterative Health

Every AI Tool, Visible. Every Risk, Contained

Discover Shadow AI Across the Enterprise

CloudEagle shadow AI discovery dashboard showing every AI tool in use across the organization correlated across browser, Zscaler, and CrowdStrike signals with adoption by team and department
Get complete visibility into every AI tool in use, including the ones IT never approved, powered by SaaSMap, the only proprietary AI app inventory built for enterprise AI discovery.
  • Govern AI usage by correlating browser, Zscaler, and CrowdStrike signals
  • See AI adoption by team, department, and user, not just a list of apps
  • Identify which AI tools are sanctioned, which are unreviewed, and which need immediate action.
CloudEagle shadow AI discovery dashboard showing every AI tool in use across the organization correlated across browser, Zscaler, and CrowdStrike signals with adoption by team and department
CloudEagle real-time AI usage control flash page redirecting an employee from an unapproved AI tool to the company-approved alternative

Control AI Usage Without Blocking Productivity

CloudEagle real-time AI usage control flash page redirecting an employee from an unapproved AI tool to the company-approved alternative
When an employee logs into ChatGPT while Gemini is your approved app, a real-time flash page steps in, educates them on your safe AI usage policies, and directs them to the right tool.
  • Maintain a centralized list of approved AI tools aligned to your company's policies and tech stack
  • Enforce AI usage policies at the point of behavior, not after the fact in a quarterly review
  • Get complete AI usage control across every team, department, and user, without blocking the tools your people actually need.

Reduce AI Risk Before It Becomes a Compliance Problem

onboarding, prompt offboarding → CloudEagle AI risk scoring dashboard showing security profiles and Netskope-powered risk levels for AI tools in use across the enterprise
Unapproved AI tools introduce data, identity, and compliance risks that grow silently. Get ahead of them before they're embedded in how your teams work.
  • Know the risk level of every AI tool in use, with security profiles and risk scoring powered by a native Netskope integration
  • Ensure AI usage aligns with GDPR, CCPA, and internal security policies
  • Surface AI-related risks before they show up in an audit or a breach
onboarding, prompt offboarding → CloudEagle AI risk scoring dashboard showing security profiles and Netskope-powered risk levels for AI tools in use across the enterprise

Frequently Asked Questions

1. What is AI governance in an enterprise context?

AI governance ensures AI tools are used safely, responsibly, and in line with security, compliance, and risk policies

2. Why is shadow AI a growing concern for organizations?

Employees adopt AI tools faster than IT can review them, creating data, identity, and compliance risks.

3. How is AI governance different from traditional SaaS governance?

AI introduces new risks around data usage, model behavior, and identity misuse that require deeper controls.

4. What is AI usage control?

AI usage control governs how AI tools are accessed, what data they process, and who can use them.

5. How does identity risk increase with AI adoption?

Over-permissioned users and unmanaged identities can expose sensitive data through AI tools.

6. Can AI governance support safe AI experimentation?

Yes. Governance enables controlled adoption instead of blocking AI outright.

7. How does AI governance help with compliance?

It provides visibility, policy enforcement, and audit-ready evidence as regulations evolve.

8. What are embedded AI risks inside SaaS tools?

AI features inside approved tools may process sensitive data without explicit visibility or approval.

9. How does CloudEagle.ai approach AI governance differently?

It unifies AI discovery, usage control, identity risk, and governance into one operational platform.

10. When should organizations start implementing AI governance?

As soon as AI tools appear in the environment. So governance is most effective when it starts early.

Govern AI With Confidence, Not Guesswork

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