AI Risk

Impersonation / identity theft

"Theft of an individual, group or organisation’s identity by a third-party in order to defraud, mock or otherwise harm them or another party"

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AI Risk4. Malicious Actors & Misuse4.3 > Fraud, scams, and targeted manipulation2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques5Attack methods connected to this risk.

Mitigations3Defenses that may help with related attacks.

Domain4. Malicious Actors & MisuseThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain4. Malicious Actors & Misuse

Subdomain4.3 > Fraud, scams, and targeted manipulation

Entity1 - Human

Intent1 - Intentional

Timing2 - Post-deployment

CategoryAutonomy

SubcategoryImpersonation / identity theft

Suggested mitigations

Defenses that may help with related attacks.

Use Multi-Modal Sensors

Business and Data UnderstandingData Preparation+1 more

LifecycleBusiness and Data Understanding + 2 moreCategoryTechnical - Cyber

Deepfake Detection

DeploymentMonitoring and Maintenance+2 more

LifecycleDeployment + 3 moreCategoryTechnical - ML

User Training

Business and Data UnderstandingData Preparation+4 more

LifecycleBusiness and Data Understanding + 5 moreCategoryPolicy

Source

Research source for this risk, when available.

Included resource

A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents

AuthorsLi et al.Year2025TypeConference Paper

DOI10.48550/arXiv.2505.22073 URLhttps://doi.org/10.48550/arXiv.2505.22073

Original source

MIT AI Risk Repository

Open the public repository used for AI risk records and taxonomy fields.

Repositoryhttps://airisk.mit.edu/