Ruvaah
Ruvaah provides hiring fraud intelligence that scores every job candidate across eight passive signal tracks—identity verification, work-history analysis, employer legitimacy, resume artifacts, application velocity, behavioral patterns, fraud-ring detection, and reference networking—to produce a single auditable trust score. The platform visualizes coordinated fraud rings by clustering shared templates, subnets, and shell employers, enabling recruiters and trust analysts to block coordinated fraud before candidates reach the interview stage. Ruvaah offers 50 free evaluations with no credit card required.
- HR Technology
- Data & Analytics
- Cybersecurity
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Hiring fraud is increasingly sophisticated, with coordinated rings submitting fabricated or embellished applications that individually appear clean. Traditional background checks and manual resume reviews fail to detect shared templates, shell employers, and batch application patterns, allowing fraudulent candidates to slip through and waste recruiter time or expose companies to risk.
Solution
Ruvaah provides a fraud intelligence platform that scores every job candidate across eight passive signal tracks—identity verification, career timeline, employer legitimacy, resume artifacts, application velocity, behavioral patterns, fraud-ring detection, and reference networking—fusing them into a single auditable trust score. The platform silently analyzes candidates without requiring them to take additional tests or actions. It clusters candidates across the entire applicant population using SHA-256 ring keys based on shared templates, subnets, and shell employers, exposing coordinated fraud rings visually. Recruiters and trust analysts work side by side in a command center that shows pipeline status, candidate dossiers, and fraud-ring graphs, with forced high-risk verdicts for any candidate anchored to a detected ring.
Target Audience
Primary users are recruiters and trust analysts at companies that hire at scale and face elevated fraud risk, including technology firms, staffing agencies, and enterprises with high-volume applicant pipelines.
Features
- Eight passive fraud-signal tracks covering identity verification, career timeline, employer legitimacy, resume artifacts, application velocity, behavioral patterns, fraud-ring detection, and reference/network analysis
- SHA-256 ring keys that cluster candidates by shared artifacts across the entire applicant population for graph-based ring detection
- Forced high-risk verdicts that auto-flag any candidate anchored to a fraud ring regardless of an otherwise clean score
- One-click quarantine to isolate every member of a ring and notify analysts in a single action
- Candidate dossiers with trust scores (e.g., 92 Trusted, 64 Review, 22 Fraud ring) and timestamps for auditability
- Console designed for recruiters and trust analysts working side by side, with pipeline views and fraud-ring graphs