AI Fraud Detection Agent

Catch fraud before it becomes a security threat

Gem's Fraud Detection Agent evaluates risk across multiple signals and flags suspicious applications with zero added friction — so recruiters can focus on real candidates.

Why customers love Gem's AI Fraud Detection Agent

Stop security threats early

Catch fraudulent applicants before they become security breaches or compliance issues, and let recruiters focus on real candidates.

Evaluate fraud risk, not just signals

Most solutions flag individual signals and leave you to interpret what they mean. Gem evaluates multiple signals together and assigns a clear risk level (high, medium, low) with 90%+ accuracy.

Zero added friction for recruiters and candidates

Fraud detection runs automatically where you review applications in Gem — no new tools for recruiters, no extra steps for candidates.

Recruiters stay in control

Recruiters make the final decision on every candidate with full transparency into why applications are deemed suspicious.

Catch fraud before it’s too late

Most companies flag fraud during background checks, after a recruiter has already invested hours in the candidate. Gem flags suspicious applications as soon as they are submitted. No manual flagging required.

Spot real threats, not just signals

Each flagged application shows a risk level and a plain-language explanation — for example: "This applicant's IP address matches three other applications submitted in the past 24 hours under different identities." No guesswork. No security degree required.

No new tab, no new workflow

Fraud detection surfaces inside your existing application review view in Gem. The fraud risk level, the signals, and the decision controls all live where your team already works, so there's nothing new to learn and no context switching.

Keep recruiters in control

Relying on security teams for initial fraud detection often creates a significant bottleneck, delaying the overall process. With Gem, recruiters can review the evidence, then advance or reject. The system flags potential fraud, but you make the final decision.