One model: configuration, patching, and logs together

Siemserva by Senserva models your configuration, your patching and CVEs, and your logs as one connected model, not three separate tools. That single model is what ranks real risk, and it is what lets AI reason across your whole Microsoft 365 estate.

The problem: three views, three tools

Most teams check these separately. A posture tool reads configuration. A patch or RMM tool tracks missing updates. A SIEM or log tool watches activity. Each answers one question, and you join them by hand, across consoles, after the fact.

Risk lives in the overlap. A weak setting is worse on an unpatched machine. An unpatched machine is worse when the logs show it being probed. Looking at one view at a time hides that.

The model: one connected graph

Siemserva puts all three in one model: configuration, patching and CVE exposure, and logs, with the relationships between them. Each finding sits next to the others that affect it, ranked by Severity, with the evidence and a fix attached.

Configuration tells you where you are exposed. Patching tells you what is unfixed. Logs tell you whether it is being used against you. Together they are one picture of your real security state, not a settings checklist.

Configuration, patching, and logs overlap Three overlapping circles, configuration, patching and CVEs, and logs. Real risk and grounded AI live where all three overlap. Configuration Patching & CVEs Logs Real risk + grounded AI

Risk lives in the overlap. One model sees it; three separate tools do not.

Why it matters

Real risk rises to the top
Because the model connects the three, a weak setting on an unpatched account that is also being probed in the logs ranks above an isolated finding. You work the few things that matter.
AI gets a real basis to reason from
AI is only as good as what it can see. Give it one connected model of your estate and it produces better, grounded fixes, not guesses. The unified model is what makes the AI useful.

How it fits together

From three inputs to one model to ranked, fixed, and verified Configuration, patching and CVEs, and logs feed one connected model. The model produces findings ranked by real risk and validated AI fixes you approve. The next scan proves the gap is closed, feeding the next cycle. Configuration Patching & CVEs Logs One connected model Ranked by real risk Validated AI fixes you approve the next scan proves the gap is closed

Three inputs, one model, ranked and fixed, then verified on the next scan.

What goes into the model

Each part is a capability on its own. The point is that they share one model.

Configuration and checks

670+ checks across Microsoft 365, Intune, Entra ID, and Purview, ranked and mapped to compliance.

Checks catalog

Patching and CVEs

Missing patches and CVEs ranked by real-world risk with CISA KEV and EPSS.

CVE and patch management

Logs

Sign-in, unified audit, directory, and provisioning logs, read together and correlated.

Log analysis

Conditional Access

Every policy evaluated against every user, app, and condition, confirmed against real sign-ins.

Conditional Access

The AI on top

Bring your own model. It reads the connected model and produces validated fixes you approve.

Senserva Trustworthy AI

Compliance evidence

Every finding mapped to the frameworks an auditor asks about, from the same model.

Compliance

It is also yours to query

The model is a local database you control, open through the Senserva SDK and the Claude MCP. Query it, extend it, and point your own AI at it. Nothing is locked in a vendor cloud.

See the model on your own data

Run the demo free, no registration, no access to your tenant.

Download and go, free

Sources

The data behind the model comes from authoritative public sources. Each opens in a new tab.