SherlockDetecteert AI-ondersteunde bedrog en deepfakes tijdens live-interviews

4.3 (6)

Beoordeeld door Daniel Nikulshyn·Bijgewerkt juli 2026

Overzicht

Sherlock is een tool voor interviewintegriteit die recruiters en hiringteams helpt om kandidaten te identificeren die AI-ondersteuning of deepfaketechnologie gebruiken tijdens videogesprekken. Het analyseert signalen zoals oogbewegingen, audiocues en gedrag op het scherm om verdachte activiteiten in realtime te signaleren. Ontworpen voor technische screenings, gedragsinterviews en grootschalige remote hiring, integreert Sherlock in bestaande interviewworkflows en produceert evidence-gebaseerde rapporten die hiringmanagers kunnen beoordelen na elke sessie.

Belangrijkste functies

Detectie van AI-ondersteuning (bijv. ChatGPT, Copilot)
Detectie van deepfakes en gezichtsverwisseling
Analyse van oog- en blikbewegingen
Monitoring van audio- en achtergrondsignalen
Integriteitrapporten na het interview
Integratie met video-interviewplatforms

Prijs

Model: Free
Categorie: AI security
Beoordeling: 4.3 / 5 (6)

Pluspunten & minpunten

Pluspunten

Real-time detectie tijdens live-interviews
Markeert zowel AI-tool als deepfake-gebruik
Levert op bewijs gebaseerde rapporten voor beoordeling
Werkt met remote inhuren-workflows

Minpunten

Kan valse positieven produceren in randgevallen
Effectiviteit hangt af van de omgeving van de kandidaat
Voegt een extra laag toe aan het interviewproces

Strijdrecord

Over 1 strijd in het Pantheon.

Last battle

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

Recensies

4.3

Gemiddelde van 6 beoordelingen.

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.