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RFP Checklist for Interview Fraud Detection Tools (Must Have vs Nice to Have)

RFP Checklist for Interview Fraud Detection Tools (Must Have vs Nice to Have)

A complete RFP checklist covering must have and nice to have requirements for interview fraud detection tools. Compare capabilities, risks, and evaluation criteria.

Published By

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Abhishek Kaushik

Published On

Dec 16, 2025

RFP Checklist for Interview Fraud Detection Tools
RFP Checklist for Interview Fraud Detection Tools

Not all interview fraud detection tools are built the same. Some only record interviews. Others detect real identity and behavioral anomalies in real time.

This checklist helps Talent, HR, Compliance and Procurement teams evaluate vendors with clarity and confidence.

Why This Checklist Matters

Interview fraud today includes:

  • Identity impersonation

  • Deepfake face and voice masking

  • Proxy interviewers answering on someone else’s behalf

  • Real-time AI answer prompting

Most tools claim they fight “cheating”, but many simply observe, not detect.

For example, a survey found that 59% of managers suspect candidates of using AI to misrepresent themselves in an interview, and 31% reported interviewing a candidate who was later revealed as an imposter.

Traditional video-recording/monitoring tools that only observe (don’t actively verify identity or behaviour) are becoming inadequate.

Part 1: Must-Have Capabilities

These features are non-negotiable. If a vendor cannot provide these, the tool will not protect your hiring process.

1. Real-Time Identity Consistency Verification

Confirms that the person interviewing is the same person who:

  • Applied

  • Submitted documents

  • Passed prior screens

Look for:

  • Face match during session

  • Multiple face detection alerts

  • Detection of camera obstructions or synthetic overlays

2. Voice and Speech Authenticity Analysis

The tool should detect:

  • Voice modulation filtering

  • Synthetic voice patterns

  • Unnatural absence of noise or breathing cues

3. Live Behavior and Interaction Pattern Monitoring

Not just facial detection. The system should flag:

  • Answering speed irregularities

  • Prompted or coached pauses

  • Off-screen gaze direction

4. Integration with Zoom, Teams and Google Meet

Native or API based.
No browser hacks.
No “screen recording workaround”.
Direct integration ensures reliability and auditability.

5. Structured Evidence Logging for Audits and Legal Defense

This is critical for:

  • Disputes

  • Vendor escalations

  • Compliance reviews

Must include:

  • Timestamped flags

  • Interview transcripts

  • System rationale labels

  • Review notes

6. Privacy, Consent and Jurisdiction-Aware Compliance

Must support:

  • US (EEOC + State AI Autonomy Laws)

  • EU GDPR + AI Act

  • UK ICO standards

  • India DPDP Act

Ask:

Does the tool inform candidates and store consent logs?

If not, legal risk is severe.

Part 2: Nice-to-Have Capabilities

Useful but not required for first deployment.

A. Automated Scorecard Generation

Creates structured evidence of performance and fit.

B. ATS Sync and Candidate Profile Auto-Updates

Reduces admin load and improves interviewer consistency.

C. AI Real-Time Coaching for Interviewers

Ensures fairness of evaluation, not candidate assistance.

D. Pattern Analytics Across Multiple Interviews

Detects agency-run fraud rings and repeat personas.

RFP Question Script

Use these during vendor calls:

Question

What You Want to Hear

How do you detect impersonation?

Real-time biometric and behavioral signals

Do you detect deepfake face and voice masking?

Yes, with explainable flags and audit logs

What happens when fraud is suspected?

Escalation workflow, identity verification step, documented logs, no auto rejection

Do you track compliance disclosures?

Yes, with signed timestamped consent artifacts

Do you export evidence for legal defense?

Yes, in standardized formats

Red Flags to Watch For in Vendors

Red Flag

Meaning

Only provides interview recordings

Surveillance, not fraud detection

Detects “focus” but not identity

UX, not security

Requires manual guessing or judgment

No repeatability or audit support

Says “AI handles everything automatically”

Black-box risk, cannot be defended in escalation reviews

If you cannot defend the detection logic, your legal risk increases.

Final Procurement Decision Flow

  1. Confirm legal compliance

  2. Confirm real-time identity verification

  3. Confirm audit logging

  4. Evaluate accuracy and false-positive handling

  5. Integrate with ATS and video platform

  6. Train recruiters

  7. Deploy in a staged rollout

This is a security control, not a convenience tool.

© 2025 Spottable AI Inc. All rights reserved.

© 2025 Spottable AI Inc. All rights reserved.

© 2025 Spottable AI Inc. All rights reserved.