Threat intelligence / Technique

Discover AI Artifacts

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.

Technique

TypeTechnique

External ID—

First seen2026-08-14

Last seen2026-08-14

Confidence

—

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.

5 recorded

Relationships

mitigates

from Control Access to AI Models and Data at Rest

Mitigation

mitigates

from Encrypt Sensitive Information

Mitigation

uses

from AI Model Tampering via Supply Chain Attack

Campaign

uses

from Google Photos AI Model Extraction

Campaign

uses

from Organization Confusion on Hugging Face

Campaign

1 external

References

mitre-atlas

AML.T0007