Record summary
A quick snapshot of what this page covers.
Control summary
What this defense is meant to help prevent.
- 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.
AML.T0011.000 - Unsafe AI Artifacts
Train users to identify attempts of manipulation to prevent them from running unsafe code which when executed could develop unsafe artifacts. These artifacts may have a detrimental effect on the system.
AML.T0011 - User Execution
Training users to be able to identify attempts at manipulation will make them less susceptible to performing techniques that cause the execution of malicious code.
Source
Where this page information comes from.
Original source
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Open the public records and source datasets used for this page.