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HIPAA Compliance Checklist for 2025
ISG Research evaluates AIOps platforms every year on how well they turn operational data into action, not just how well they display it. The 2026 ISG Buyers Guide™ for AIOps Platforms has recognized CloudEagle.ai as a top performer in its Capability evaluation. Read the full report here.
We're announcing it today: Read the full press release here.
1. IT Operations Outgrew the Tools Built to Run Them
Most ITOps tooling was built for a smaller, simpler estate: a handful of monitoring dashboards, a ticketing queue, and a team that could still eyeball the alerts. That model made sense when infrastructure sat in one place and applications numbered in the dozens.
It doesn't describe today.
IT now spans hybrid infrastructure, cloud services, hundreds of SaaS applications, and a fast-growing layer of AI tools and agents that spin up their own credentials without asking permission first.
ISG Research projects that through 2028, demand for real-time insight into system health will push nearly half of enterprises to fund dedicated AIOps strategies, and most are still working out which platforms actually belong in that stack.
The gap isn't visibility anymore. Most tools can show you an alert. The gap is turning that alert into a governed, automated action, tied to the identity, the access, and the risk behind it, without a person manually stitching the three together.
2. What ISG's Research Says Is Changing in AIOps
The 2026 Buyers Guide points to a market moving past dashboards and toward outcome-driven execution. A few shifts stand out:
- AIOps is becoming a governance conversation: Correlating events and automating remediation increasingly means touching identity, access, and compliance, not just infrastructure metrics.
- Agentic AI is entering the operational loop: ISG's research flags emerging capabilities where systems don't just flag an issue but diagnose it, act on it, and learn from the outcome.
- Automation has to be auditable, or it doesn't count: Self-healing workflows and policy-driven remediation only earn enterprise trust when every action is logged, governed, and reversible.
If you run IT operations, none of this will surprise you. What might is how few AIOps platforms are built to handle the identity and governance side of that equation natively, instead of bolting it on.
3. How CloudEagle.ai Brings Governance Into Operational Intelligence
CloudEagle.ai is an AI-powered SaaS management, AI governance, and identity governance platform. The entry ISG evaluated, our AI Governance & Ops Automation module, applies that same governance-first approach to operational intelligence: correlating identity, access, usage, and risk signals, and turning that correlation into automated action.
Here’s how it helps:
Shadow AI and agents get discovered before they become risk
Employees and engineers adopt new AI tools, agents, and MCP servers faster than any team can track manually, often without procurement or security ever seeing them.
- What CloudEagle.ai does: Correlates browser, SSO, and finance signals to surface every AI app, agent, and MCP server in use, and risk-scores them automatically.
- What changes: Security sees shadow AI the day it appears, rather than the quarter an auditor asks about it.
Non-human identities get the same lifecycle governance as employees
Every new integration or automation spins up a service account or API key. Nobody owns tracking them, and an orphaned one is effectively a credential with standing access and no accountable owner.
- What CloudEagle.ai does: Tracks every non-human identity in one place, showing current status, ownership, and what it's permitted to touch.
- What changes: Security teams get a defensible answer to "where is our NHI risk," instead of a shrug.
Governance actions run without waiting on engineering
Turning an operational insight into a fix usually means a ticket, an approval chain, and a wait.
- What CloudEagle.ai does: Runs no-code, Slack-enabled workflows that trigger governance actions, deprovisioning, access downgrades, and policy enforcement directly off correlated risk signals.
- What changes: Remediation happens in the flow of work.
Shadow AI. Orphaned Credentials. Ungoverned Agents.
These don’t require a separate AIOps tool bolted onto a separate governance platform. It runs on the same SaaSMap Context Graph that powers CloudEagle.ai's visibility into spend, usage, and risk, correlating security data, SaaS inventory, usage metrics, contracts, and permissions into one operational layer.
That's the problem CloudEagle.ai was built to solve: treating IT operations, SaaS governance, and AI governance as a single continuous problem rather than three separate ones.
"Being named in ISG's AIOps research alongside the vendors that built this category tells us our approach to operational intelligence, governing SaaS, AI, and identity together, is resonating beyond the governance market we started in," said Nidhi Jain, CEO of CloudEagle.ai. "We built CloudEagle to automate the operational work IT and security teams were doing by hand. This recognition confirms we're solving a problem that goes well beyond SaaS management."
If you want to see what governing SaaS, AI, and identity from a single platform actually looks like, book a demo.
IT Operations Outgrew Manual Governance.
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