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Identity theft

As explained in Financial AI in Practice

Identity fraud is fraud involving the deceptive use or impersonation of a person's identity.

Identity-based fraud targets a person’s identity rather than directly abusing a payment mechanism. It includes taking over a legitimate account and using real and fabricated data to invent a nonexistent person for a credit application. section 7.2

Two forms illustrate the category:

  • Account takeover seizes control of a legitimate account. section 7.2
  • Synthetic identity fraud combines real and fake data to invent a person for a credit application. section 7.2
Figure 7.2 A structured typology of financial fraud. This framework organizes fraud into six primary categories based on the core attack vector, such as exploiting a transaction, compromising an identity, or deceiving a person. This structured view is crucial for developing specific and effective AI-driven countermeasures for each type of threat.
figure

The fraud typology places identity-based fraud alongside other categories organized by their attack vector. section 7.2

How Financial AI in Practice covers it

How deep it goes
Defines the identity attack vector and names two forms, without detailing detection methods.
Examples
Uses account takeover and synthetic identities created from real and fabricated data as examples.
How it connects
Connects identity fraud to account takeover, synthetic identity fraud, transaction-based fraud, and financial fraud typologies.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.