CloudEagle.ai’s EagleIQ Delivers Shadow AI Visibility Across Seven Discovery Sources
Security, IT, and Compliance can finally look at the same dashboard instead of different screens to govern AI and SaaS.
CloudEagle.ai, an AI-powered AI Governance platform, announces that EagleIQ, formerly SaaSMap, rebranded now as its scope grew from tracking SaaS alone to mapping identity, spend, and AI together, now correlates all of an enterprise’s shadow AI signals: the IDP, contract metadata, firewall logs and MDM, approved purchases, social-login signups, shadow purchases, and browser-extension sessions, bringing IDP, spend, and security data into a single dashboard, giving security and IT a true observability layer over AI usage.
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AI adoption is moving faster than traditional systems can keep up. EagleIQ closes that gap by connecting IDP, spend, network and browser signals into a single, continuously updated view of AI usage.”
— Nidhi Jain, CEO of CloudEagle.ai.
Security and IT teams have long relied on the identity provider as their source of truth, but AI tools are adopted through personal emails, expensed subscriptions, and social logins that never touch the IDP, leaving most shadow AI invisible until it becomes a risk. Sixty-nine percent of cybersecurity leaders now say they have evidence, or suspect, that employees are using public generative AI at work, according to Gartner, and suspecting is not the same as knowing.
“AI adoption is moving faster than traditional systems of record can keep up with. EagleIQ closes that gap by connecting identity, spend, security, and browser signals into a single, continuously updated view of AI usage. That gives enterprises the visibility to govern AI at the speed it is being adopted,” said Nidhi Jain, CEO of CloudEagle.ai.
An IDP log confirms a login, not what someone signed up for with a personal email. A contract line item covers one SKU, not the dozen a single vendor like Salesforce can quietly add on. A firewall log confirms a session, not who owns it. That is why single-source detection keeps missing the same shadow AI quarter after quarter. EagleIQ cross-references all seven layers automatically, so one signal is enough to confirm a tool is real, instead of someone having to manually match it across the other six systems first.
Security teams no longer investigate every unfamiliar session as its own fire drill. Every app that EagleIQ detects is automatically risk-scored, so the team knows what to escalate before opening a single ticket.
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IT now applies the same process to AI tools it already runs for the rest of the SaaS stack. Apps discovered through social logins or shadow purchases are matched back to the employees using them, so provisioning and deprovisioning run through the normal process instead of a manual chase. When more context is needed before a decision, IT can send an employee survey or a vendor questionnaire directly from the same workflow instead of chasing that answer over email.
When an auditor or board member asks how many AI tools are in use and who approved them, Compliance and Procurement now have a single report to hand over instead of scrambling across five systems for an answer.
Every enterprise already has an IDP, a NetSuite, a firewall, an expense system. What most don’t have is a session someone never logged into showing up on the same list. EagleIQ gives security and IT one starting point instead of seven, so nothing gets missed just because it never touched an approved system.
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