PromptRiskDBThreat intelligence atlas

Data from AI Services - AI Security Technique

AI Security Technique

Adversaries may use their access to a victim organization's AI-enabled services to collect proprietary or otherwise sensitive information. As organizations adopt generative AI in centralized services for accessing an organization's data, such as with chat agents which can access retrieval augmented generation (RAG) databases and other data sources via tools, they become increasingly valuable targets for adversarie...

Overview

A source-backed snapshot of this AI security technique.

Adversaries may use their access to a victim organization's AI-enabled services to collect proprietary or otherwise sensitive information. As organizations adopt generative AI in centralized services for accessing an organization's data, such as with chat agents which can access retrieval augmented generation (RAG) databases and other data sources via tools, they become increasingly valuable targets for adversaries.

AI agents may be configured to have access to tools and data sources that are not directly accessible by users. Adversaries may abuse this to collect data that a regular user wouldn't be able to access directly.

Tactics1Attacker goals connected to this method.
Mitigations5Defenses that may help against this attack.
AI risks0Research-backed risks connected to this topic.

Technique details

Identifiers, maturity, and source taxonomy for this technique.

ATLAS ID
AML.T0085
Maturity
demonstrated
Priority score
35
ATLAS tactics
Collection

Attack flow

How to read the public records connected to this technique.

1. TechniqueRead the ATLAS description and evidence level.
2. TacticsSee which attacker goals this method supports.
3. ExamplesCheck whether public case studies mention it.
4. DefensesReview safeguards mapped by ATLAS.
5. SourcesOpen the original public records and references.

Impact

Why this technique may deserve attention in the current dataset.

  • Evidence leveldemonstrated
  • Mapped defenses5 ATLAS mitigation records
  • Public examples0 linked case study records
  • Research risks0 related MIT AI Risk records above the confidence threshold
  • Vulnerabilities0 linked CVE records

Mitigations

Defenses that may help against this attack.

AML.M0028 - AI Agent Tools Permissions Configuration

Configuring AI Agent tools with access controls inherited from the user or the AI Agent invoking the tool can limit adversary's access to sensitive data.

LifecycleDeploymentCategoryTechnical - Cyber
Deployment

AML.M0024 - AI Telemetry Logging

Log requests to AI services to detect malicious queries for data.

LifecycleDeployment + 1 moreCategoryTechnical - Cyber
DeploymentMonitoring

AML.M0032 - Segmentation of AI Agent Components

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

LifecycleDeployment + 1 moreCategoryTechnical - Cyber
DeploymentB&D Understanding

Showing 4 of 5

Case studies

Examples from public reports and exercises.

No case studies found. No public example is connected to this attack in the current data.

Source evidence

Original public records and references for this page.