Agentic AI security: run security with agents, and secure the agents

Agentic AI changed the question twice at once. AI that can plan and act is the biggest productivity jump security teams have seen, and it is also a brand new attack surface inside your tenant. Most vendors talk about one half. Both halves are the job.

Siemserva by Senserva covers both: it lets an AI agent run your Microsoft 365, Intune, Defender, and Entra ID security end to end through the Senserva MCP, with every action validated and approved, and it inventories and governs the AI agents already living in your tenant.

Watch agentic AI run a security pass

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.

Half one: security operated by an AI agent

Through the Senserva MCP, Claude or the AI of your choice becomes a security operator with guardrails. You ask in plain language; the agent works from your real scan data and Senserva validates everything it proposes.

1
Ask
Tell the agent what you want: audit standing Global Administrators, close the Conditional Access gaps, show what changed this week, patch what is being exploited.
2
The agent works
It reads your findings through the MCP, reasons over them, and proposes the actions, grounded in your tenant, not in generic advice.
3
Validated, then approved
Senserva validates each proposed fix into a reviewed, deterministic step. You approve; nothing runs unattended.
4
Proven
The next scan verifies the result. The agent did the hours; you made the decisions. How the Claude and MCP integration works.

Half two: securing the agents in your tenant

Copilot, custom agents, and the service principals behind them are identities with permissions, and most tenants cannot list them. Treat them like the privileged accounts they are:

AI agent inventory
Every agent, its service principal, its owners, and the permissions behind it, discovered by scan, not by survey. AI agent inventory and least privilege.
Shadow AI discovery
The models and agents nobody approved, found through the consents and traffic they leave behind. Shadow AI.
Copilot data governance
Copilot reads whatever the user can reach. Senserva finds the oversharing and labeling gaps that turn Copilot into a leak. Copilot oversharing.
Over-scoped grants
Agents accumulate OAuth permissions the way apps do. Over-scoped and unused grants get flagged with a validated revocation.
Governance frameworks
Evidence mapped to ISO 42001, the EU AI Act, and the NIST AI RMF, from the same scans.
Microsoft AI security
The full picture of auditing Copilot and AI agents across the stack. Microsoft AI security.

Why one model has to cover both

The agent that runs your security and the agents you need to secure are the same kind of thing: identities that act. If your security model can validate, gate, and verify an action from Claude, it can inventory and gate the actions of every other agent in the tenant. That is why Senserva treats agentic AI security as one connected problem, on the same data model as your users, apps, and devices.

Frequently asked

What is agentic AI security?

It covers two things that are converging: using agentic AI (AI that plans and acts, not just answers) to operate your security, and securing the agentic AI that is appearing inside your environment: Copilot, custom agents, and the service principals behind them. A real strategy handles both.

How do I run security tasks with an AI agent safely?

Ground it and gate it. Through the Senserva MCP, Claude or the AI of your choice works only from your real scan data, every proposed change is validated by Senserva first, and nothing applies without your approval. The agent does the work; you keep control.

How do I find the AI agents already in my tenant?

Scan for them like any other identity and permission surface. Senserva inventories agents, their service principals, and the permissions behind them, and flags over-scoped or unapproved ones, the same way it audits users and apps.

Does Copilot fall under this?

Yes. Copilot is the most widely deployed agentic surface in Microsoft 365, and its risk is mostly data governance: what it can reach is what it can leak. Senserva audits the oversharing and labeling gaps that Copilot inherits.

Go deeper

The find, prioritize, fix, verify loop the agent runs.
The same agentic loop applied to IT operations work.
Learn Microsoft 365 security by racing the agent.