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HIPAA Compliance Checklist for 2025
An employee signs up for a new AI copilot with their work email on a Tuesday afternoon. Nobody in IT knows it happened. A separate automation spins up a service account that same week to move data between two SaaS tools, and it will still be running, untouched, two years from now. Security has a dashboard for SSO coverage, a spreadsheet for access reviews, and no single place that shows both.
This is the environment most enterprise security teams are actually working in, and it is the one KuppingerCole Analysts set out to evaluate in its latest Leadership Compass.
CloudEagle.ai has been recognized in KuppingerCole Analysts' 2026 Leadership Compass for SaaS Security and AI Governance.
SaaS and AI Have Become One Risk Surface
For years, SaaS security and AI governance were treated as separate problems, owned by different teams, tracked in different tools. That separation no longer holds. AI is delivered through SaaS, embedded inside SaaS applications, and connected to company data through the same channels that unmanaged SaaS has always used:
- Direct browser access and free-tier sign-ups
- Browser plugins and extensions
- OAuth authorizations and embedded copilots
- SaaS marketplace apps and business-led subscriptions
A tool that only watches one side of that boundary is only watching half the risk.
Identity is what ties it together, and not just human identity. Every integration, every automation, every AI agent creates an identity of its own, one with permissions, access to data, and no obvious owner.
Three Shifts Behind the Convergence
A few structural changes are driving this shift, and they show up in nearly every enterprise environment:
- Identity is becoming the organizing layer: Human accounts, service accounts, API keys, and AI agents all need the same fundamentals: an owner, a permission set, and a reason to still exist.
- Shadow AI is the new shadow IT: Employees adopt AI tools the same way they've always adopted SaaS: through the browser, a free tier, or a plugin, well before anyone in security is looped in.
- SaaS-to-SaaS supply chain risk is still underestimated: Third-party apps connected through platforms like Salesforce, Slack, and Microsoft 365 can become high-impact access paths, and most organizations have limited visibility into that chain.
If that sounds like the risk surface your team is already stitching together across three or four separate tools, that gap is exactly what this recognition is pointing at.
How CloudEagle.ai Governs SaaS, AI, and Identity Together
"SaaS and AI stopped being separate problems the moment AI started getting deployed through the same browsers, logins, and vendors as every other app," said Nidhi Jain, CEO of CloudEagle.ai. "This recognition reflects what we set out to build: one platform that governs identity, access, and risk across SaaS and AI together, instead of asking security teams to stitch together point tools for each."
a) AI Governance
Employees are adopting AI tools faster than IT can track them, often outside any formal review process. CloudEagle.ai closes that gap by:
- Discovering every sanctioned and unsanctioned AI application, agent, and MCP server in use
- Tracking token consumption by app and by team
- Blocking sensitive company data from being entered into unauthorized AI tools, directly through its browser plugin
The result is a defensible answer to which AI tools are in use, who is using them, and what they can reach.
b) Non-Human Identity (NHI) Management
Every new integration or automation quietly creates a non-human identity, and these accumulate with no consistent owner. CloudEagle.ai tracks non-human identities in one place by:
- Correlating data from Okta, Entra, and other identity providers
- Showing who owns each NHI, what it can access, and whether it's still needed
- Flagging orphaned or stale NHIs before they become an incident
c) Security Posture Management
Security posture reviews have traditionally meant checking MFA, SSO, and framework compliance one application at a time, a process that's stale as soon as it's finished.
CloudEagle.ai replaces the manual audit with continuous tracking of application-level posture against frameworks including NIST 800, rolling federation signals, compliance data, and risk scores into one live view.
d) User Access Reviews
User access reviews are the process most security teams dread: quarterly exports, spreadsheet tracking, and reviewing managers rubber-stamping approvals rather than evaluating them.
CloudEagle.ai automates the review end-to-end by:
- Surfacing high-risk users and ex-employees first
- Routing approvals to the right owner automatically
- Auto-attaching evidence of deprovisioning for audit
A process that used to take months now finishes in days.
What Recognition From KuppingerCole Means
KuppingerCole's Leadership Compass is read by the security and IT leaders who are deciding, right now, which platform will govern their SaaS and AI estate for the next several years.
Being recognized in the KuppingerCole report means CloudEagle.ai's coverage of that estate – SaaS discovery, identity governance, AI governance, and remediation – was evaluated directly against the rest of the market and came out ahead.
If you want to see what governing SaaS, AI, and identity from a single platform actually looks like, book a demo.
Can You See Every Identity?
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