Is Your Next Hire Actually Real?
A free checklist with 20 signals to identify fake candidates, AI-generated resumes, and proxy applicants. Documented by Brainner across 50+ interviews with high-risk candidates flagged at the application stage.
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What's in this document
A 5-page document with 20 specific signals organized in 5 categories. Built from 50+ interviews with high-risk candidates flagged by Brainner at the application stage.
- The 20 specific red flags fake candidates show during video interviews
- 5 categories that cover the full pattern: location, audio/visual, script, identity, and technical depth
- Interview techniques that reveal coached scripts, deepfake setups, and identity inconsistencies in under 90 seconds
- Pre-interview signals visible at the application stage: resume formatting, LinkedIn footprint, email patterns
- A look at how Brainner approaches candidate identity at the application stage
The 5 categories of signals
None of these signals work in isolation. What identifies a fake candidate is the accumulation. Five or six in the same call, or across a wave of applications: that's the pattern.
- Location inconsistencies
- Audio and visual setup
- The script breaks down
- Identity and background
- Technical depth
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The real problem is before the interview
Spotting a fake candidate during an interview isn't that hard once you know what to look for. The harder problem is everything that happens before: reading the resume, scheduling the call, running the interview. Time spent on a candidate that should never have reached your pipeline in the first place.
Brainner flags high-risk applicants at the moment of application, before any recruiter opens a profile. Every candidate is cross-referenced against 3.5 billion data points and evaluated against 20+ fraud patterns. Recruiters stay in control of every decision. The candidates who make it to your interview stage are worth your time.
Chosen by Large Enterprises, RPOs, and Startups
The checklist gives you the patterns. Brainner gives you the system that flags high-risk applicants before they reach your pipeline.
Book a demo to see Brainner on your live ATS data.
FAQs
Everything talent acquisition teams need to know about candidate fraud detection and how Brainner spots fake applicants at scale.
A fake candidate is an applicant who misrepresents who they are. This includes AI-generated resumes, fabricated LinkedIn profiles, proxy candidates (one person applies, another shows up in the interview), and coordinated operations running templates across multiple roles. According to Gartner, 1 in 4 job candidates globally will be fake by 2028.
Brainner analyzes every incoming application against 20+ fraud patterns covering identity, behavior, and resume consistency. The platform cross-references each candidate against 3.5 billion data points, including public records, professional networks, and proprietary fraud signal databases, and surfaces a High Risk flag with the specific signals that triggered the alert. Recruiters review each flag and decide whether to advance or archive.
Yes. Brainner is SOC 2 Type II certified, GDPR compliant, and CCPA compliant. Candidate data is processed inside the same security perimeter you've already approved for your ATS, and Brainner does not store candidate data beyond the operational window required for screening.
Brainner is used by teams hiring across fintech, financial services, staffing and RPO, healthcare and biotech, SaaS, retail and e-commerce, energy and manufacturing, crypto and Web3, edtech, legal tech, gaming, cybersecurity, and consulting. Any company posting remote tech roles attracts coordinated fraud campaigns, regardless of sector.
Brainner integrates natively with Greenhouse, Lever, Workday, Workable, Recruitee, Zoho Recruit, iCIMS, JazzHR, Ashby, SmartRecruiters, and BambooHR through bidirectional sync. The risk signals show up inside the ATS your team already works in. Don't see your ATS on the list? Reach out and we'll likely integrate it.