AI security automation for Microsoft 365

Security teams do not lose to attackers because they cannot find problems. They lose because finding, prioritizing, fixing, and proving each fix is slow, manual work. AI security automation closes that gap: the machine runs the loop, a person approves the change.

Siemserva by Senserva is that loop for Microsoft 365, Intune, Defender, and Entra ID: scan the tenant, rank every gap by real risk, generate a validated fix for each one, and verify the fix on the next scan. AI drafts, you approve, the scan proves it.

Run your first automated scan free

This is Senserva Trustworthy AI. You bring your own model, your data stays local, every action is grounded in your real findings and validated before you approve it, and the next scan proves it worked. How Senserva Trustworthy AI works.

What AI security automation actually means

The phrase gets used loosely, so here is the working definition Senserva builds to: software that automates the four stages a security engineer runs by hand, with AI doing the judgment-heavy middle and a human owning the decision.

1
Find
Continuous scans across Microsoft 365, Intune, Defender, Entra ID, and Purview surface misconfigurations, risky identities and apps, drift, and missing patches, with the evidence behind each finding.
2
Prioritize
Every finding is ranked by Severity and real-world signal: confirmed exploitation (CISA KEV), EPSS probability, and what the gap exposes in your tenant, so the queue starts with what an attacker would use first.
3
Fix
This is where AI earns its place. For each finding the AI generates remediation tuned to your actual tenant state, often ready-to-run PowerShell, and Senserva validates it before you ever see it. How validated AI remediation works.
4
Verify
You approve and apply, from the UI or from Claude via the Senserva MCP, and the next scan confirms the gap is closed. The proof is in the data, not in a checkbox.

What Siemserva automates today

Not a roadmap. These run in tenants now:

Hundreds of security checks
The full checks catalog runs on every scan: identity, Conditional Access, apps, devices, data, and logging, each mapped to controls.
AI-generated remediation
Each finding arrives with a validated, tenant-tuned fix. Approving a change replaces researching, writing, and testing one. AI remediation.
Exploit-ranked patching
Missing updates ranked by confirmed exploitation and EPSS, tied to the CVEs they fix. Ask your patch data anything.
Agentic operation via MCP
Drive the whole loop in plain language from Claude or the AI of your choice through the Senserva MCP. Claude and the MCP.
AI-written reporting
Boardroom-ready summaries and compliance evidence generated from your scan data. AI security reports.
Drift watch
When a fixed setting slips back, the change is caught and flagged before it becomes an incident. Senserva Drift Manager.

Automation with a human in the loop, by design

The failure mode of security automation is not "too slow", it is "changed production unattended and broke sign-in for everyone". Siemserva is built so that cannot happen: the AI proposes, validates, and explains; a person approves; the scan verifies. That is the whole trust model, and it is why the automation is safe to run daily.

It also means no AI markup on your bill and no data leaving your control: you bring your own model, and every claim the AI makes is grounded in your findings. Read the Senserva Trustworthy AI model, or see the adjacent problem of securing Microsoft AI itself.

Frequently asked

What is AI security automation?

AI security automation uses AI to run the security loop that people used to run by hand: find the gaps, decide what matters most, produce the fix, and confirm it worked. Done right, the AI drafts and a human approves, so speed goes up without giving a model unattended control of your tenant.

How is this different from SOAR?

Classic SOAR automates playbooks you write in advance and mostly targets alert response. AI security automation generates the response: for each finding it drafts remediation tuned to your actual tenant state, validates it, and hands it to you for approval. There is no playbook library to build and maintain.

Does the AI change my tenant on its own?

No. Siemserva is automated where it helps and never unattended. The AI generates and validates the fix; you review and apply it from the UI or from Claude through the Senserva MCP, and the next scan proves the gap closed.

Which parts of Microsoft 365 does it cover?

The full stack: Microsoft 365, Intune, Defender, Entra ID, and Purview. Identity and Conditional Access gaps, risky apps and OAuth grants, device compliance drift, exploited-CVE patching, oversharing, and hundreds of other checks, each with a generated, validated remediation.

Go deeper

Running security with AI agents, and securing the agents themselves.
The same loop applied to IT operations: patching, drift, and evidence.
From finding to validated fix in one short walkthrough.