SherlockUpptäcker AI-assisterad bedrägeri och djupfakes under levande intervjuer

4.3 (6)

Granskat av Daniel Nikulshyn·Uppdaterad juli 2026

Översikt

Sherlock är ett verktyg för intervjuintegritet som hjälper rekrutterare och anställningsgrupper att identifiera kandidater med hjälp av AI-teknik eller djävulsdesign-teknik vid videointervjuer. Det analyserar tecken som ögonrörelse, ljudsignaler och skärmsbeteende för att flagga misstänkt aktivitet i realtid. Designad för tekniska skärmar, beteendesamtal och distansrekrytering på stor skala, integrerar Sherlock med befintliga intervjukrav och producerar evidensbaserade rapporter som anställningschefer kan granska efter varje session.

Nyckelfunktioner

AI-assistentdetektering (t.ex. ChatGPT, Copilot)
Deepfake och ansiktsbyte-detektering
Analyser av ögonrörelser och blick
Ljud- och bakgrundssignalsmonitoring
Rapporter om efterintervjun sin integritet
Integrering med videointervjuplattformar

Priser

Modell: Free
Kategori: AI security
Betyg: 4.3 / 5 (6)

Fördelar och nackdelar

Fördelar

Real-tidsdetektering under levande intervjuer
Flaggar både AI-verktyg och djupfakes
Ger evidencebaserade rapporter för granskning
Fungerar med distansrekryteringarflöden

Nackdelar

Kan leda till falska positiva i krisfall
Effektivitet beror på kandidatens miljö
Lägger till ytterligare ett skikt till intervjuprocessen

Stridsrekord

I 1 strid i Pantheon.

1:a

2:a

3:e

Last battle

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

Recensioner

4.3

Genomsnitt från 6 betyg.

Logga in för att lämna en recension.

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.