Discover AI Artifacts
Description
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.
- ATLAS ID
- AML.T0007
- Maturity
- DemonstratedShown to work in research or red-team exercises.
- Platforms
- Predictive AIGenerative AIAgentic AI
Mitigations
- AML.M0005Control Access to AI Models and Data at Rest
Access controls can limit an adversary's ability to identify AI models, datasets, and other artifacts on a system.
- AML.M0012Encrypt Sensitive Information
Encrypting AI artifacts can protect against adversary attempts to discover sensitive information.