MITRE ATLASsub-technique

AML.T0010.002 Data

Published 2021-05-13 Modified 2025-04-09 Official page ↗
Tactics
Initial Access
Created
2021-05-13

Description

Data is a key vector of supply chain compromise for adversaries. Every AI project will require some form of data. Many rely on large open source datasets that are publicly available. An adversary could rely on compromising these sources of data. The malicious data could be a result of Poison Training Data or include traditional malware. An adversary can also target private datasets in the labeling phase. The creation of private datasets will often require the hiring of outside labeling services. An adversary can poison a dataset by modifying the labels being generated by the labeling service.

Related

Subtechnique of · MITRE ATLAS (1)

  • AML.T0010 AI Supply Chain Compromise technique

Tactic · MITRE ATLAS (1)

Referenced by MITRE ATLAS · mitigates (4)

  • AML.M0025 Maintain AI Dataset Provenance mitigation
  • AML.M0005 Control Access to AI Models and Data at Rest mitigation
  • AML.M0007 Sanitize Training Data mitigation
  • AML.M0014 Verify AI Artifacts mitigation