Fraudulent applicants, filtered

Screen your entire applicant history and every new application as it comes in — so your talent team only ever sees real candidates.

High Risk Candidates1,019
A
Alex Chen
High Risk
J
Jordan Smith
High Risk
S
Sam Rivera
Low Risk
T
Taylor Kim
High Risk
Risk Overview
56%high risk
1,809
total candidates
1,019 high risk
790 low risk
Since Last Review
47
flagged out of 312 new applicants
Fraud Network
47
linked applicants
3
networks found
Email Intelligence
Matches fraud pattern
23
1,809 emails analyzed

Everything you need to detect fraud

One platform that connects to your ATS and surfaces risk signals you would otherwise miss.

Phone Intelligence

Carrier-grade phone lookup detects VOIP and non-fixed numbers that signal fake identities.

Resume Analysis

Our AI reads every resume and extracts structured work history to surface inconsistencies.

Bi-Directional ATS Integration

Risk scores write back to your ATS so your team can automatically filter out high-risk candidates — no manual triage required.

Up and running in minutes

Connect your ATS and start reviewing risk scores today.

01

Connect your ATS

Paste your Greenhouse API key. Pop Security instantly syncs your open jobs.

02

Analyze candidates

Select a job and click Analyze. We check every resume, phone number, email address, and LinkedIn.

03

Review risk scores

Candidates are sorted by fraud risk. Review high-risk applicants first.

Start detecting fraud today

Protect your hiring process from fraudulent applicants

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