Sherlock

Product Introduction

1. Sherlock is an AI-powered integrity platform designed to detect and prevent AI-assisted cheating during remote interviews by monitoring and analyzing candidate behavior through real-time vision, audio, and reasoning-based detection systems.
2. The core value of Sherlock lies in its ability to ensure the authenticity of candidate responses, safeguard the credibility of remote hiring processes, and enable organizations to focus on evaluating genuine skills rather than combating fraud.

Main Features

1. Sherlock employs computer vision to track screen activity, eye movements, and body language, flagging suspicious behaviors such as off-screen interactions or unauthorized devices.
2. The platform uses advanced audio analysis to detect background voices, synthesized speech, or AI-generated responses in real time, ensuring verbal answers originate directly from the candidate.
3. Sherlock’s reasoning engine analyzes response patterns for inconsistencies, plagiarism, or deviations from human-like logic, identifying potential AI-generated content or pre-scripted answers.

Problems Solved

1. Sherlock addresses the growing challenge of candidates using AI tools, chatbots, or third-party assistance to cheat during remote interviews, which undermines hiring accuracy and fairness.
2. The product primarily serves HR teams, recruitment agencies, and hiring managers who conduct high-stakes remote interviews for technical, customer-facing, or leadership roles.
3. Typical scenarios include coding interviews where candidates might use AI coding assistants, sales role assessments where applicants could rely on script-generating tools, or academic admissions interviews requiring strict anti-cheating measures.

Unique Advantages

1. Unlike basic screen-recording tools, Sherlock combines multimodal detection (visual, auditory, and logical analysis) to identify both overt and subtle cheating tactics, including next-gen AI tools like ChatGPT.
2. The platform’s proprietary reasoning engine adapts to evolving cheating methods by learning from global interview patterns, ensuring up-to-date detection capabilities without manual updates.
3. Sherlock operates without requiring installable software on candidate devices, ensuring compatibility with all major video conferencing platforms while maintaining zero data residency risks.

Frequently Asked Questions (FAQ)

1. How does Sherlock differentiate between legitimate research and AI-assisted cheating during interviews? Sherlock’s reasoning engine evaluates context, response speed, and logical flow to distinguish between pre-approved reference materials and real-time AI collaboration, with configurable tolerance levels per client.
2. What video conferencing platforms does Sherlock integrate with? The tool seamlessly integrates with Zoom, Microsoft Teams, Google Meet, and custom WebRTC-based platforms, requiring only a browser link for candidates.
3. How does Sherlock ensure compliance with data privacy regulations? All analysis occurs in encrypted ephemeral containers, with no permanent storage of biometric data, adhering to GDPR, CCPA, and SOC 2 standards for interview recordings and metadata.