AI attack surface

See where AI may intersect with your enterprise.

The AI attack surface spans more than cloud services. AxLoop starts with supported endpoint evidence, then builds toward correlated interaction context.

Direct definition

What is an AI attack surface?

An AI attack surface is the set of AI applications, agents, models, services, endpoints, tools, declarations, and verified connections that may create paths to enterprise systems and data.

AxLoop knowledge base

The visibility problem

Evidence must come before control.

01

Expanding assets

New AI applications and services can be adopted throughout the organization.

02

Layered relationships

Agents and MCP can connect devices, models, tools, and enterprise systems, but each relationship needs evidence.

03

Edge blind spots

Activity beginning on laptops, phones, and servers may not appear in cloud-only views.

How AxLoop helps today

Discover from the endpoint outward.

AxLoop identifies supported AI applications, agents, local models, runtimes, and MCP configuration evidence. Each finding keeps installed, configured, running, and independently verified states distinct.

  • Identify supported software and configuration evidence
  • Preserve device and user scope
  • Monitor meaningful state changes

Questions teams ask

  • Q1What supported AI assets are present?
  • Q2Which relationships are configured versus verified?
  • Q3Which parts of the surface changed recently?

Common questions

Answers, briefly.

What makes up the AI attack surface?
It spans AI applications, agents, local and hosted models, MCP servers and tools, AI APIs, the credentials they use, and the endpoints and systems they connect to. Each connection is a potential path into enterprise data.
Why does the AI attack surface change so quickly?
New AI tools, extensions, and MCP servers can be installed in minutes by individual users. Model providers and tool capabilities change frequently. A quarterly review cannot keep up, so continuous discovery is needed.
How do you reduce the AI attack surface?
Inventory what exists, remove unused or unapproved tools, narrow tool permissions, assign ownership, and monitor for new connections. Reduction starts with seeing the full surface from the endpoint outward.
Where does AxLoop fit alongside existing security tools?
AxLoop adds the AI layer to the context EDR, MDM, CASB, and cloud security already provide. It focuses on what AI software and connections exist on devices, then exports evidence through OpenTelemetry to existing tools.

Agent Interaction Observability

Start with evidence at the edge.

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