User Training - AI Mitigation
AI MitigationEducate AI model developers to on AI supply chain risks and potentially malicious AI artifacts. Educate users on how to identify deepfakes and phishing attempts.
Overview
A source-backed snapshot of this defense.
Safeguard details
Where this defense applies and how the source classifies it.
- ATLAS ID
- AML.M0018
- ATT&CK external ID
- M1017
- Priority score
- 30
Covered techniques
Attacks this defense is designed to help with.
AML.T0052.001 - Deepfake-Assisted Phishing
Train users on deepfake threats, including how to recognize synthetic voice, video, and text. Recommend verification through independent channels (e.g. known call-back number) before processing sensitive requests or providing sensitive information via voice or video calls.
AML.T0011.001 - Malicious Package
Train users to identify attempts of manipulation to prevent them from running unsafe code from external packages.
AML.T0052 - Phishing
Train users to identify phishing attempts by an adversary to reduce the risk of successful spearphishing, social engineering, and other techniques that involve user interaction.
AML.T0052.000 - Spearphishing via Social Engineering LLM
Train users to identify phishing attempts and understand that AI can be used to generate targeted and convincing messages.
Showing 4 of 6
Source evidence
Original public records and references for this page.
Original source
Original source links
Open the public records and source datasets used for this page.