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AI‑powered resume builders are being marketed to tech job seekers as a way to pass applicant tracking system (ATS) filters. Tools such as Teal, Rezi, Kickresume and LinkedIn’s built‑in AI feature rewrite content to match job‑posting language, generate quantified achievements and flag missing keywords. Surveys from early 2026 show that more than half of technology candidates have tried at least one AI resume tool, citing higher ATS scores and faster application preparation.

At the same time, ATS platforms themselves have become a major target for hiring‑related fraud. The large volume of applications processed—tens of millions annually—allows fraudsters to submit synthetic identities, harvest recruiter contact details, divert payroll after onboarding and even use deep‑fake video interviews. These attack patterns exploit low‑friction registration and automated ingestion pipelines, creating liability for vendors that lack robust verification layers. Experts advise embedding digital‑footprint signals and fraud‑prevention controls to protect both employers and candidates.