Your Exposure Score
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Risk Dimension Breakdown
Data Leakage
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Governance
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Compliance
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Executive Summary
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What this means for your organisation
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AI Governance Platform
Every AI Tool Visible. Every Token Tracked. Every Risk Blocked.
Discover shadow AI outside SSO, stop employees from entering company data into unapproved AI tools, and track token spend by team and user.
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
Your team is using AI tools IT never approved. You find out when something goes wrong.
Employees are pasting company data into AI tools with no policy, no log, no audit trail.
Your AI bill arrives at month-end as a single number. No way to know if any of it was worth it.
You have AI vendors in your stack whose data handling practices you've never reviewed.
Result: AI adoption is happening with or without you. Right now you have no means to govern it.
With CloudEagle
Every AI tool your employees use, approved or not, is visible in one place, including the ones outside SSO.
When an employee tries to use an unapproved AI tool, they're redirected before any company data is entered.
Token spend tracked per user, per team, per tool, so Finance has the breakdown they need and every business unit owns its own AI costs.
Every AI vendor in your stack scored for risk, data handling, security posture, compliance alignment, before your auditors ask.
Result: You know what's running, what it's costing, whether it's safe, and who's accountable.
Shadow AI Risk Assessment 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.
Identified Risk Areas
The areas below scored 1 or 2 in your assessment. Each represents a specific maturity gap with a clear first action.
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-demoCustomer Spotlight:
“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
Every AI Tool, Visible. Every Risk, Contained
AI Usage Control By Team, User and Token
AI tools like Claude, Gemini, etc. don't bill by seat, they bill by token, API call, and credit. Now you have real-time AI usage control for every app and business units before the invoice arrives.
- Track real-time AI usage, token consumption, active users, and cost per team across all consumption-based AI tools and Gen AI apps.
- Spot duplicate AI subscriptions and unused seats and harvest them to optimize spend.
- Allocate AI costs back to the teams generating them, so every business unit owns its own AI budget.
Shadow AI Discovery Outside SSO
Get complete visibility into your entire AI footprint with SaaSMap. Discover every browser extension, personal account, and free trial your teams sign up for, and govern them before they become an AI security risk.
- Discover sanctioned and unsanctioned AI tools across browser, SSO, CASB, and finance signals
- Correlate signals across browser, SSO, Zscaler, and CrowdStrike to surface every tool, every user, every risk
- Detect AI features (GenAI) activating silently inside tools you already own and govern them.
Protect Company Data with Secure Browser
When an employee tries to use an unapproved AI tool, a real-time flash page steps in before any company data is entered, enforcing your AI governance policy where behavior actually happens.
- Deploy a lightweight browser extension that monitors AI tool access, no separate DLP or endpoint agent required
- Redirect employees to approved AI alternatives the moment they try to access an unapproved tool
- Prevent employees from uploading or entering sensitive company data into unapproved AI tools.
Know the Risk Level of Every AI Vendor
Automatically assign risk scores to every AI tool and GenAI feature inside your SaaS stack, powered by Netskope, so you always know where your exposure sits before it shows up in an audit finding.
- Instantly see which AI tools are high-risk based on data residency, training data use, and security posture
- Identify risky AI tools and GenAI features embedded inside SaaS apps you already own
- See which AI tools are training on your company data and processing regulated data without approval.
Optimize All Your SaaS and AI with One AI-Powered Platform
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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