Sherlock is built to safeguard the hiring process in a world where AI-assisted cheating
and deepfakes are on the rise. Integrated seamlessly into Zoom, Meet, and Teams, it
autonomously monitors interviews in real-time, detecting coaching, AI-generated
answers, and synthetic risks. After each call, Sherlock provides concise evidence reports
so hiring managers can focus on candidate fit rather than worrying about authenticity.
With its privacy-first approach and easy integration into existing interview workflows,
Sherlock helps companies hire with confidence and integrity.
Pros
Detects AI-assisted cheating and deepfakes, enhancing the integrity of hiring processes.
Seamlessly integrates with popular video conferencing platforms like Zoom, Meet, and Teams.
Operates in real-time, providing immediate monitoring during interviews.
Offers concise evidence reports post-interview, allowing hiring managers to focus on candidate fit.
Supports a privacy-first approach, ensuring user data is handled responsibly.
Facilitates confidence and integrity in hiring by enabling evidence-based decision making.
Cons
Potential privacy concerns despite a privacy-first approach, due to continuous monitoring and data processing.
Reliance on technology might lead to false positives or negatives, impacting candidate evaluation.
Integration might require additional setup or adjustments within existing workflows.
Limited feedback from actual users regarding reliability and accuracy might lead to trust issues.
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