TechniquediscoveryATLAS

AML.T0007Discover AI Artifacts

What it is

Adversaries may search private sources to identify AI learning artifacts that exist on the system and gather information about them. These artifacts can include the software stack used to train and deploy models, training and testing data management systems, container registries, software repositories, and model zoos. This information can be used to identify targets for further collection, exfiltration, or disruption, and to tailor and improve attacks.

References

  1. https://atlas.mitre.org/techniques/AML.T0007

Related by meaning· 6

Nearest entities by semantic similarity across the cs-graph corpus.

ATLAS
Acquire Public AI Artifacts
ATLAS
AI Artifact Collection
ATLAS
Discover AI Agent Configuration
ATLAS tactic
Collection
ATLAS
Discover AI Model Ontology
ATLAS
Discover AI Model Outputs
Sourced from MITRE ATLAS — Adversarial Threat Landscape for AI Systems. Curated by Adam Lundqvist, SQUR.