2026 Study: How teams stop AI interview cheating without hurting candidate experience

2026 Study: How teams stop AI interview cheating without hurting candidate experience

2026 Study: Stop AI fraud in interviews

CANDIDATE IDENTITY CONTINUITY

Know it’s the same candidate—from first screen to final decision.

Know it’s the same candidate—from first screen to final decision.

Know it’s the same candidate—from first screen to final decision.

Sherlock follows continuity signals across recorded and live interviews, then surfaces identity changes, deepfakes, and proxy participation for human review.

Sherlock follows continuity signals across recorded and live interviews, then surfaces identity changes, deepfakes, and proxy participation for human review.

Evidence for reviewers. Decisions stay with your team.

THE PROBLEM

Hiring systems verify moments. Fraud happens between them.

Hiring systems verify moments. Fraud happens between them.

A résumé, an assessment, a recorded screen, and a live interview often live in separate systems. That makes it difficult to know whether the person who applied is the person answering—and whether that identity stayed consistent across every round.

A résumé, an assessment, a recorded screen, and a live interview often live in separate systems. That makes it difficult to know whether the person who applied is the person answering—and whether that identity stayed consistent across every round.

A résumé, an assessment, a recorded screen, and a live interview often live in separate systems. That makes it difficult to know whether the person who applied is the person answering—and whether that identity stayed consistent across every round.

01

Candidate substitution

A qualified applicant completes one step, while a proxy appears in a later interview.

02

Synthetic identity

Face or voice manipulation can make a different person appear consistent at a glance.

03

Hidden assistance

Scripts, copilots, or coordinated help can obscure who is actually producing the answers.

ONE CONTINUOUS EVIDENCE TRAIL

Follow the candidate—not just the meeting link.

Follow the candidate—not just the meeting link.

Sherlock connects interview evidence across formats and stages so reviewers can see what stayed consistent, what changed, and where attention is needed.

01

Application

Profile baseline

02

Recorded screen

Video + audio signals

03

Live interview

Identity + behavior signals

04

Decision

Reviewer evidence

HOW SHERLOCK HELPS

Continuity signals your team can review.

Continuity signals your team can review.

Sherlock does not replace hiring judgment. It organizes technical signals and interview evidence into a clear record for trained reviewers.

01

Capture interview signals

Analyze the video, audio, session, and behavior signals available in recorded or live interviews.

02

Compare continuity

Look for consistency and meaningful changes across interview stages, formats, and sessions.

03

Surface anomalies

Flag proxy participation, deepfake indicators, scripted delivery, or coordinated assistance for review.

04

Create reviewer evidence

Give your team a concise record of what was observed, when it changed, and why it matters.

SECURITY & PRIVACY

Built for high-trust hiring workflows.

Interview evidence is protected with enterprise safeguards and clear controls for access, retention, and review.

GDPR

ISO 27001

SOC 2

CPRA

IDENTITY SHOULD NOT RESET BETWEEN ROUNDS

Keep the candidate continuous from first screen to final decision.

Keep the candidate continuous from first screen to final decision.

See how Sherlock fits into your recorded and live interview workflow.

Schedule a demo →