According to our new AI in hiring report
, 28% of recruiters encounter fraud multiple times per month, and 74% are more concerned about fake credentials than last year. As AI accelerates screening, managing fraud and security risk has become a core responsibility for talent teams. For this edition of The Recruiter’s Desk, we consulted experts Ariana Moon (Greenhouse), Hung Lee (Recruiting Brainfood) and Becky McCullough (HubSpot) for practical guidance on managing risk:
Tip 1: Treat AI as input, not authority. Ariana advises viewing AI “as an opinion from a smart coworker rather than a universal truth,” grounding decisions in clear competencies and human judgment.
Tip 2: Replace black boxes with glass boxes.“We need to evolve beyond the black box experience,” Ariana added, “and embrace a glass box mindset where teams can defend how AI is used.”
Tip 3: Build coordinated, end-to-end verification. Becky notes that “effective fraud management requires cross-business collaboration” so verification spans “from application to onboarding” and feels fair and consistent.
Tip 4: Demand explainability and oversight. Hung emphasizes bias audits, transparent reasoning and clear audit trails to keep AI-assisted decisions accurate and defensible.
Together, these practices help teams move fast while protecting trust, security and candidate quality.