Use case · Shadow-AI discovery

The AI agents nobody approved are already running. Aeguard finds them.

Your people installed AI agents and assistants that your EDR reports as ordinary signed processes. Aeguard inventories every one on the endpoint, attributes what it touched, and shows you which agents are operating with no rule at all.

AI-agent inventory

Attribution per agent

Risk-scored

In beta on macOS and Windows · Apple Endpoint Security entitlement granted

Use case · Shadow-AI discovery

The AI agents nobody approved are already running. Aeguard finds them.

Your people installed AI agents and assistants that your EDR reports as ordinary signed processes. Aeguard inventories every one on the endpoint, attributes what it touched, and shows you which agents are operating with no rule at all.

AI-agent inventory

Attribution per agent

Risk-scored

In beta on macOS and Windows · Apple Endpoint Security entitlement granted

Use case · Shadow-AI discovery

The AI agents nobody approved are already running. Aeguard finds them.

Your people installed AI agents and assistants that your EDR reports as ordinary signed processes. Aeguard inventories every one on the endpoint, attributes what it touched, and shows you which agents are operating with no rule at all.

AI-agent inventory

Attribution per agent

Risk-scored

In beta on macOS and Windows · Apple Endpoint Security entitlement granted

The blind spot

Your EDR sees a signed process. It doesn’t see an agent.

An AI agent is a legitimate, signed binary doing legitimate things, until the moment it does something its own rulebook forbids. Classic endpoint tooling has no concept of a declared agent permission, so shadow AI hides in plain sight: approved-looking software, unapproved behaviour.

Shadow AI

Agents installed without approval, running with broad file and network scope. Nobody has an inventory.

Silent re-scoping

Permissions and trusted folders widen over time. The change is never reviewed.

No attributable record

When something moves, you can’t prove which agent did it, on which machine, or when.

HOW DISCOVERY WORKS

Four ways Aeguard finds an agent your inventory missed.

Aeguard doesn’t wait for a signature to exist. It identifies AI agents by how they announce themselves and how they behave, then attributes their file, network and process activity back to the agent that caused it.

Signature

Known agent binaries, CLIs and runtimes identified on sight.

Behavioural

Agent-shaped activity: model calls, tool use, autonomous file and network actions, caught even when the binary is unknown.

MCP inventory

Enumerates the MCP tool grants an agent holds: which external tools it can call.

Process lineage

Follows the process tree, so a child action is attributed to the agent that spawned it, not the shell it ran in.

Every finding is attributed, per agent and per machine · chained into the tamper-evident log.

©Astragar All rights reserved.

©Astragar All rights reserved.

©Astragar All rights reserved.