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

2026 Study: Stop AI fraud in interviews

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

DEEPFAKE INTERVIEWS DETECTION

Detect deepfake interviews before you hire.

Detect deepfake interviews before you hire.

Detect deepfake interviews before you hire.

Video, voice, and interview fraud analysis.

Video, voice, and interview fraud analysis.

Video, voice, and interview fraud analysis.

Analyze prerecorded AI-led and human-led job interviews for deepfake video, voice cloning, synthetic media, interview impersonation, and candidate fraud—then receive timestamped evidence for a fair, human-led hiring review.

Analyze prerecorded AI-led and human-led job interviews for deepfake video, voice cloning, synthetic media, interview impersonation, and candidate fraud—then receive timestamped evidence for a fair, human-led hiring review.

Analyze prerecorded AI-led and human-led job interviews for deepfake video, voice cloning, synthetic media, interview impersonation, and candidate fraud—then receive timestamped evidence for a fair, human-led hiring review.

Recorded remote job interview ready for Sherlock analysis

SHERLOCK VIDEO ANALYSIS

Analysis complete

Analysis complete

12 evidence moments found

SENT THROUGH THE API

Recording → structured report

02:14

Scripted reading pattern

05:32

Synthetic voice signal

11:03

Deepfake risk signal

Each finding links to the exact moment in the recording.

APIs

Interview Recordings

Scripted Reading

Deepfake

HOW IT WORKS

From recording to report.

From recording to report.

Upload an interview recording or send it through the API. Sherlock AI detects deepfake interview risk, synthetic voice signals, video manipulation, scripted responses, and outside assistance—then returns a structured, timestamped evidence report for human review.

Upload an interview recording or send it through the API. Sherlock AI detects deepfake interview risk, synthetic voice signals, video manipulation, scripted responses, and outside assistance—then returns a structured, timestamped evidence report for human review.

SHERLOCK VIDEO ANALYSIS · CANDIDATE_INTERVIEW.MP4

Analysis complete

12 evidence moments found across video, audio, and response behavior.

02:14 · Scripted reading pattern

05:32 · Synthetic voice signal

08:47 · Repeated off-screen attention

11:03 · Deepfake risk signal

12:31 · Outside assistance detected

Evidence by timestamp

Every finding links back to the exact moment in the recording.

API response · Timestamped evidence · Human review

WHAT SHERLOCK CHECKS

A focused review of the signals that matter.

A focused review of the signals that matter.

A focused review of the signals that matter.

Sherlock combines independent signals. No single signal decides the outcome.

Synthetic media

Deepfake video, cloned voice, lip-sync mismatch, and edited frames.

Scripted reading

Eye movement and response timing consistent with reading from a script.

Outside assistance

Coaching, second screens, and another person helping off camera.

Identity continuity

Changes in face, voice, or presence across the same recording.

AUTHENTICITY EVIDENCE, NOT ASSUMPTION

Turn deepfake interview risk into an evidence-backed hiring review.

When video or voice authenticity is in doubt, Sherlock AI turns deepfake detection signals into a reviewable evidence trail—helping recruiting and talent teams investigate synthetic-media risk, interview impersonation, and candidate fraud fairly.

REAL-TIME AUTHENTICITY REVIEW

Trace the media changes that point to manipulation.

Map face continuity, voice character, and frame texture across the call to isolate moments that may indicate generated or altered media.

Deepfake authenticity snapshot

ANALYZING

Aligned

Face continuity

Stable

Voice profile

Observed

Lip-sync trace

Ready

Reviewer evidence

Synthetic media signal pulse

Visual and voice consistency across the interview

AUTHENTICITY EVIDENCE

Build an audio-visual case, not a suspicion.

Correlate lip-sync drift, synthetic-voice cues, and image artifacts so reviewers can see which signals reinforce each other.

REVIEW QUEUE

Go straight to the frames and phrases that matter.

Timestamped media markers let reviewers inspect the exact visual or vocal change without replaying an entire interview.

Linked authenticity moments

02:14 · Facial continuity changed after join

08:47 · Lip-sync timing became inconsistent

12:31 · Voice profile drift detected

Open deepfake evidence trail →

Deepfake evidence handoff

Evidence package ready for review

Visual and voice signals, timestamps, and reviewer notes are organized in one place.

REVIEW READY

Hand reviewers a clear media-authenticity brief.

The final review package keeps linked clips, audio-visual signals, and context together for a defensible human decision.

BUILT FOR RECORDED INTERVIEWS

Works with the interviews you already run.

Works with the interviews you already run.

Works with the interviews you already run.

1

Upload

Video file or recorded interview

2

Analyze

Sherlock video-analysis API

3

Review

Timestamped fraud evidence

AI interview platforms

Analyze interviews recorded by automated screening and interview tools.

Human-led interviews

Review recordings from recruiter and hiring-manager calls.

Batch review

Submit many interviews and track each analysis in your workflow.

API-first workflow

Send recordings from your existing product and receive structured results.

THE SHERLOCK DIFFERENCE

From deepfake uncertainty to evidence-backed review.

Sherlock gives hiring teams the context to investigate synthetic-media concerns thoughtfully—before assumptions become decisions.

BEFORE SHERLOCK

A synthetic-media concern without context.

Reviewers are left piecing together visual and audio anomalies from memory, instinct, and incomplete notes.

• Unclear signals and subjective recall

• Slow, inconsistent investigation

• High-stakes decisions without proof

AFTER SHERLOCK

A clear authenticity trail to the next step.

Sherlock turns video and voice authenticity signals into linked evidence, giving every reviewer the context to assess a concern fairly.

✓ Timestamped, reviewable evidence

✓ Faster alignment across reviewers

✓ Fairer, more confident decisions

✓ Fits your existing interview workflow

✓ Human review stays in control

Ready to review deepfake risk with clarity?

See how Sherlock turns an authenticity concern into reviewable evidence.

VIDEO ANALYSIS FAQ

Questions teams ask before integrating

Questions teams ask before integrating

Questions teams ask before integrating

What can I upload?

Does this work for AI interviews and human-led interviews?

What does the API return?

Can reviewers jump to the evidence?

Does Sherlock make the hiring decision?

Start with one interview recording.

Ready to detect deepfake interviews with confidence?

Ready to detect deepfake interviews with confidence?

Upload a video through the API and see the evidence Sherlock returns.