AI-Enhanced Candidate Fraud Raises Insider Threat Risks, Huntress Says

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Summary

Huntress cites hiring-fraud figures, including 23.2% of applicants flagged as fraud risks in its September–November 2025 data, and recommends identity checks and contextual assessments to reduce deepfake and insider-threat risks.

Key points

  • Huntress says its Endorsed screening tool flagged 23.2% of applicants as fraud risks from September to November 2025, based on signals including contact details, social profiles, identity traces, and fraud networks.
  • The article cites a Gartner projection that one in four candidate profiles worldwide will be fake by 2028, and a survey finding that 17% of hiring managers have encountered candidates using deepfakes.
  • Huntress warns that fraudulent candidates who bypass hiring checks could create insider-threat risks by gaining access to internal systems.
  • Recommended safeguards include human-led identity checks, biometric or liveness validation, and cross-checking candidates’ digital footprints.
  • The article advises replacing conventional take-home tasks with spontaneous, scenario-based exercises and setting clear policies on candidates’ AI use.

Article Details

Topic
AI-enhanced candidate fraud, including AI-generated applications, deepfakes, and synthetic identities in recruitment

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