SherlockDetects AI-assisted cheating and deepfakes during live interviews

4.3 (6)

შეფასებული Daniel Nikulshyn·განახლდა ივლისი, 2026

მიმოხილვა

Sherlock is an interview integrity tool that helps recruiters and hiring teams identify candidates using AI assistance or deepfake technology during video interviews. It analyzes signals like eye movement, audio cues, and on-screen behavior to flag suspicious activity in real time. Designed for technical screens, behavioral interviews, and remote hiring at scale, Sherlock integrates into existing interview workflows and produces evidence-backed reports that hiring managers can review after each session.

ძირითადი ფუნქციები

AI assistant detection (e.g., ChatGPT, Copilot)
Deepfake and face-swap detection
Eye and gaze movement analysis
Audio and background signal monitoring
Post-interview integrity reports
Integration with video interview platforms

ფასები

მოდელი: Free
კატეგორია: AI security
შეფასება: 4.3 / 5 (6)

დადებითი და უარყოფითი

დადებითი

Real-time detection during live interviews
Flags both AI tools and deepfake usage
Provides evidence-based reports for review
Works with remote hiring workflows

უარყოფითი

May produce false positives in edge cases
Effectiveness depends on candidate environment
Adds another layer to the interview process

ბრძოლების რეკორდი

1 ბრძოლაში პანთეონში.

1-ლი

მე-2

მე-3

Last battle

#2
AI security Showdown — June 15, 2026
Jun 15, 2026 · #2 of 6

შეფასებები

4.3

საშუალო 6 შეფასებიდან.

შედი ანგარიშზე შეფასების დასატოვებლად.

Mei-Ling Wong

May 20, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: eye and gaze movement analysis and provides evidence-based reports for review. Where it lags: adds another layer to the interview process. On balance the feature set — especially audio and background signal monitoring — justifies the 4 stars for our use case.

Hannah Goldberg

Feb 6, 2026

Solid for our team

We rolled this out across the team last quarter and real-time detection during live interviews. AI assistant detection (e.g., ChatGPT, Copilot) fits neatly into how we already work, and integration with video interview platforms removed a step we used to do by hand. Effectiveness depends on candidate environment, which is the main caveat, but it has held up under daily use.

Tomáš Novák

Dec 17, 2025

Use it every day

Honestly didn't expect to like it this much. AI assistant detection (e.g., ChatGPT, Copilot) is exactly what I needed, and flags both AI tools and deepfake usage. but I reach for it almost every day now and it just clicks.

Margaret Whitfield

Oct 19, 2025

Solid for our team

We rolled this out across the team last quarter and works with remote hiring workflows. Post-interview integrity reports fits neatly into how we already work, and aI assistant detection (e.g., ChatGPT, Copilot) removed a step we used to do by hand. Adds another layer to the interview process, which is the main caveat, but it has held up under daily use.

Esther Adeyemi

Aug 13, 2025

Solid for our team

We rolled this out across the team last quarter and flags both AI tools and deepfake usage. AI assistant detection (e.g., ChatGPT, Copilot) fits neatly into how we already work, and eye and gaze movement analysis removed a step we used to do by hand. but it has held up under daily use.

Naomi Suzuki

Jul 19, 2025

Solid for our team

We rolled this out across the team last quarter and provides evidence-based reports for review. Eye and gaze movement analysis fits neatly into how we already work, and integration with video interview platforms removed a step we used to do by hand. Adds another layer to the interview process, which is the main caveat, but it has held up under daily use.