Spend time on real candidates
Gem's AI Fraud Detection Agent automatically scans every application for suspicious signals — so your recruiters focus on real talent, not chasing down bad actors.



Detect fraud across the funnel
Automatic fraud checks
Gem checks every application automatically — and gives your team the flexibility to run checks on demand whenever you need them.
Multi-signal risk assessment
Gem evaluates multiple signals together — resume metadata, linkedin, email, phone, IP, and more — so your team sees the full picture, not a single data point.
Understand every flag
Gem doesn't just tell you something looks wrong — it shows you exactly why, with evidence-based summaries your team can act on confidently.
Clear risk level assessments
Every flagged candidate receives a high, medium, or low risk rating — determined by analyzing all six signals together, with 90%+ accuracy — so your team knows exactly where to focus.
Objective risk summaries
Gem surfaces a plain-language summary of the evidence behind each flag — so decisions are based on documented reasoning, not gut feel.
Recruiter verification
Review the evidence and confirm or dismiss each flag directly in Gem. Every decision is logged, creating a consistent and auditable record across your team.
Move fast on what matters
Once you know who's real and who isn't, Gem makes it easy to act on the whole queue — not just one candidate at a time.
Bulk actions
Advance or reject flagged candidates in bulk — so your team clears the queue quickly and keeps focus on the applicants worth their time.
Impact stats
See which roles are most affected by fraud and track time saved across your pipeline — so you always know what fraud detection is doing for your team behind the scenes.
0%+
Analyze six risk signals automatically.
0M+
Learn from patterns across top hiring teams.
0hrs
Catch fraud before recruiters waste time.

Gem. Move recruiting beyond process
More ways to use Gem
FAQ
Gem automatically scans every inbound application across six signals — resume metadata, LinkedIn verification, email verification, identity verification, phone verification, and IP and device data. It evaluates all signals together rather than flagging individual anomalies, then assigns a high, medium, or low risk level with a plain-language summary of the evidence. The whole process runs in the background with no added steps for recruiters or candidates.

See how Gem protects your pipeline — and the people in it.















