Fraud Protection
Spot suspicious signals before they distort your decision
Jointl helps identify unusual behavior and potential fraud signals across Flows, including reference checks, assessments, invitations, and response patterns. Risk indicators are surfaced for review so your team can decide the right next step.
Jointl checks response patterns and technical signals to help flag possible fake references, suspicious assessment behavior, and identity inconsistencies.
Multi-factor fraud analysis may include:
- Device, operating system, and browser signals
- IP address checks
- Location consistency signals
- Timestamp comparisons
- Email address verification
- Digital fingerprint anomaly detection
- AI-generated response indicators
- and more
When suspicious activity is detected, Jointl flags it with a risk level. Your team can then review the context, request clarification, ask for an additional reference, or move the person through your process according to your policies.
Identity verification with LinkedIn
References can confirm their identity through secure LinkedIn authentication, adding another trust signal to the reference checking process.
