How to detect bot-driven job application fraud in ATS platforms

The increase in automated and malicious job applications since 2021 has posed significant challenges for recruiting teams, as application volumes have doubled while teams have shrunk. This surge is often attributed to automated tools and bad actors submitting fake applications to access internal systems or steal intellectual property. The traditional protections in Applicant Tracking Systems (ATS), such as CAPTCHAs and rate limits, are inadequate in detecting these sophisticated attacks, as they evaluate individual interactions in isolation and fail to recognize patterns across sessions. Fingerprint technology offers a solution by providing additional context through browser, device, and network signals to identify suspicious activity in real-time, allowing teams to detect and stop automated submissions before they overwhelm hiring pipelines. By using device intelligence to assign stable visitor IDs, Fingerprint helps teams link separate applications to the same source, enhancing existing ATS controls and reducing application spam without disrupting legitimate candidates.