Detect AI-Assisted Cheating in Live Interviews
AI answer pattern
Off-screen attention
Integrity report ready
LIVE INTERVIEW INTEGRITY SIGNALS
SAMPLE INTERVIEW REPORT · CANDIDATE 110
82 / 100 · Elevated
Multiple independent signals were captured. A reviewer should inspect the linked moments before making a decision.
02:14 · ChatGPT opened during technical prompt
05:32 · Cluely activity detected
08:47 · Repeated off-screen attention shifts
11:03 · Generated-answer pattern flagged
12:31 · Audio anomaly near response start
Signal timeline across interview
Signals are shown with timestamps and context so reviewers can verify what happened — not rely on a single score.
Sample report · Evidence-led review · Human decision required
WHAT SHERLOCK DETECTS
Build a complete, evidence-backed picture of potential interview integrity risks—without asking reviewers to trust a single signal.
AI-Assisted Answering
Detect suspicious use of AI-generated answers during interviews.
Deepfakes
Identify potential synthetic or manipulated candidate identities.
External Assistance
Identify potential coaching or assistance from another person.
Voice Cloning
Detect suspicious voice-related signals during the interview.
Identity Mismatch
Verify that the person interviewing is the intended candidate.
AI Copilots
Identify signals associated with hidden real-time interview assistance.
Second Screens & Devices
Detect suspicious use of additional devices or screens.
Proxy Interviews
Detect when someone other than the intended candidate may be participating.
INTERVIEW INTEGRITY, SIMPLIFIED
A Clear Path From Interview to Evidence
Sherlock works quietly throughout each remote interview, turning meaningful signals into clear, reviewable context for faster and fairer hiring decisions.
CONDUCT INTERVIEWS
Interview As You Normally Would
Keep your existing interview process. Sherlock runs in the background across your live video workflow without adding friction for candidates or interviewers.
Live interview integrity
ANALYZING
Verified
Candidate identity
In range
Attention pattern
Contextual
Answer behavior
Ready
Evidence package
Live detection console
Signals update continuously as the interview unfolds
LIVE ANALYSIS
Response pattern
Analyzing
Attention trace
Monitoring
REAL-TIME DETECTION
Sherlock Detects in Real Time
As the interview unfolds, Sherlock continuously analyzes answer behavior, attention shifts, identity signals, and potential external assistance—surfacing context while it still matters.
DETAILED INTEGRITY REPORT
Review Evidence, Not Assumptions
Every flagged moment is linked to the exact point in the interview, giving your team the context needed to investigate with confidence.
Reviewable evidence trail
02:14 · Response timing changed after technical prompt
08:47 · Repeated off-screen attention pattern
12:31 · Answer behavior changed mid-session
Open complete evidence trail →
Investigation handoff
Evidence package ready
Identity, behavior, timestamps, and reviewer notes in one place.
HUMAN REVIEW, BETTER CONTEXT
Give Reviewers a Clearer Next Step
Bring timestamps, linked evidence, and reviewer notes together in one handoff—so teams can make informed decisions while protecting candidate fairness.
INTERVIEW INTEGRITY USE CASES
1
Interview
Keep your existing interview flow
2
Detect
Surface meaningful integrity signals
3
Investigate
Review evidence before deciding
High-Stakes Executive Hiring
Add an evidence-led integrity layer when senior decisions, confidential conversations, and costly mis-hires leave little room for uncertainty.
High-Volume Recruiting
Give recruiting teams a consistent way to triage potential concerns across many remote interviews without slowing down the hiring process.
Remote & Distributed Teams
Bring the same integrity standard to every video interview, wherever interviewers and candidates are located.
Sensitive & Regulated Roles
Support fair, defensible review for roles where identity, confidentiality, and interview integrity are especially important.
THE SHERLOCK DIFFERENCE
From interview uncertainty to hiring confidence.
Sherlock gives hiring teams the evidence to investigate concerns thoughtfully—before assumptions become decisions.
BEFORE SHERLOCK
A concern without context.
Interviewers are left piecing together memory, instinct, and incomplete notes after the moment has passed.
• Unclear signals and subjective recall
• Slow, inconsistent investigation
• High-stakes decisions without proof
AFTER SHERLOCK
A clear trail to the right next step.
Sherlock turns meaningful moments into linked evidence, giving every reviewer the same 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
Questions & Answers
What is AI interview cheating detection?
Can Sherlock AI detect ChatGPT and other AI tools in interviews?
Does AI cheating detection hurt candidate experience?
How does Sherlock AI support technical and coding interview integrity?
How does Sherlock AI help detect proxy interview help?
How do evidence-backed integrity reports support fair hiring?
Can it detect off-screen reading, hidden notes, and second-screen help?
See how Sherlock AI helps your team identify suspicious interview behavior, review the evidence, and make fairer hiring decisions.