If 30 to 60 percent of CVs contain lies or serious exaggerations, and AI can now mass produce "perfect fit" resumes in minutes… how confident are you that the shortlist you sent this morning is even real?

Or that the person who aced your remote technical interview was not quietly assisted by Agentic AI on a second screen?

Here is what is already happening in recruitment:

Surveys show well over half of candidates admit to lying on resumes about skills, experience, or education

Research like the FRANCIS framework shows that even a small injection of AI generated fake resumes can poison job matching models and distort recommendations across an entire platform

Fraud rings now spin up multiple synthetic applicants from the same device, hiding behind VPNs, abusing geo restrictions, and training their way through your ATS filters

If you run a recruitment platform, job marketplace, RPO, or in house TA team, ignoring cybersecurity and fraud does three things:

1- Burns recruiter hours on synthetic "perfect" candidates while genuine talent waits

2- Poisons your data and recommendation models with fake career histories

3- Exposes you to insider threats when a "remote hire" is really just an entry point for a cyberattack

Recruitment cybersecurity in 2025 is not just MFA and Captcha. It needs device intelligence, behavioral biometrics, link analysis on career paths, and real time scoring during interviews to spot fake applicants, fake resumes, and live AI assisted fraud before they reach your hiring managers.

That is exactly what we built at CrossClassify: a real time AI protection layer for recruitment platforms that scores every applicant, device, and live session across fraud, abuse, and AI driven deception.

If this sounds uncomfortably familiar, we broke down the full problem and architecture in our new white paper:

"Stopping the Generative AI Recruitment Flood: A Technical Defense Against Fake Applicants, Poisoned Resumes, and Live Interview Fraud"

Read it here.