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Sherlock is an AI-driven interview integrity platform designed to ensure the authenticity and fairness of remote interviews by monitoring multiple behavioral and biometric cues. It integrates directly with popular video conferencing tools like Zoom, Microsoft Teams, and Google Meet, enabling real-time detection of impersonation, proxy participation, and unauthorized assistance without requiring additional software or complex setup.
Key features include impersonation and proxy detection through analysis of behavioral patterns, biometric signals, and facial recognition to verify the candidate's identity. Sherlock also monitors off-camera activities such as unusual screen usage, suspicious audio, and eye movement patterns that may indicate cheating or external help. Its customizable detection settings and detailed reporting capabilities allow organizations to adjust sensitivity levels and conduct thorough audits based on specific role requirements.
Sherlock is aimed at maintaining hiring standards by reducing the risk of fraudulent participation in remote assessments. It captures comprehensive logs for every interview, facilitating easy investigation and documentation of potential integrity violations while preserving a seamless candidate experience. The platform offers a one-time payment model providing lifetime access, streamlining budgeting for organizations seeking long-term solutions.
Overall, Sherlock is positioned as a practical tool for organizations that require enhanced security and trustworthiness in remote hiring processes by leveraging AI to detect and prevent interview fraud. Its seamless integration, behavioral analytics, customizable controls, and detailed reporting collectively support more reliable candidate assessment in remote interviewing environments.
This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.
Website: withsherlock.ai
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