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Segmentation of AI Agent Components - AI Mitigation

AI Mitigation

Define security boundaries around agentic tools and data sources with methods such as API access, container isolation, code execution sandboxing, and rate limiting of tool invocation. When sandboxing, limit resource and network access and build the container or virtual machine from a clean base image before each run. This restricts untrusted processes or potential compromises from spreading throughout the system.

Overview

A source-backed snapshot of this defense.

Techniques6Attacks this defense is designed to help with.
Lifecycle2Where this defense applies in the AI lifecycle.
Categories1How the source groups this defense.

Safeguard details

Where this defense applies and how the source classifies it.

ATLAS ID
AML.M0032
Priority score
30
DeploymentBusiness and Data Understanding
Technical - Cyber

Covered techniques

Attacks this defense is designed to help with.

6 recordsView all techniques →

AML.T0053 - AI Agent Tool Invocation

Segmentation can prevent adversaries from utilizing tools in an agentic workflow to perform unsafe actions that affect other components.

demonstrated

AML.T0085.001 - AI Agent Tools

Segmentation can prevent adversaries from utilizing tools in an agentic workflow to collect sensitive data.

demonstrated

AML.T0085 - Data from AI Services

Segmentation can prevent adversaries from utilizing tools in an agentic workflow to collect sensitive data from AI services.

demonstrated

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Source evidence

Original public records and references for this page.

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