Secure your remote interviews with real-time AI fraud detection.
Grade: B — Score: 83/100
Sherlock AI employs a multimodal adversarial machine learning approach to identify interview fraud, integrating signals from device activity, audio environments, and candidate behavior into a unified classifier. This advanced technology allows for the detection of subtle cheating tactics that traditional methods may miss.
The platform seamlessly integrates with existing workflows by connecting to calendars and automatically generating secure meeting links for interviews. During the interview, Sherlock provides real-time alerts for suspicious activities, allowing interviewers to focus on evaluating candidates' skills.
As remote interviews become more prevalent, the risks of AI-assisted cheating increase. Sherlock AI mitigates these risks by continuously refining its detection capabilities, ensuring high accuracy and reliability in maintaining the integrity of the hiring process.
Fraud Detection Starter: $100/month monthly; $80/month billed annually
Fraud Detection Growth: $1,500/month monthly; $1,200/month billed annually
Fraud Detection + AI Fluency Starter: $120/month monthly; $96/month billed annually
Fraud Detection + AI Fluency Growth: $1,800/month monthly; $1,440/month billed annually
Fraud Detection + AI Fluency + Note Taking Starter: $200/month monthly; $160/month billed annually
Fraud Detection + AI Fluency + Note Taking Growth: $3,000/month monthly; $2,400/month billed annually
Enterprise: Custom quote
Consider switching to HireVue: HireVue also offers video interviewing solutions with AI capabilities but lacks the same level of real-time fraud detection.
Sherlock says its AI Fraud Detection analyzes device activity, audio environments, and candidate behavior to flag AI-assisted cheating and AI copilots during live interviews. It does not publish a tool-by-tool detection list or evidence that every interview assistant will be caught, so alerts should be reviewed as supporting evidence rather than treated as proof by themselves. Prevent + Detect adds application blocking and requires candidate installation, while Detect Only reports indicators without installation.
Sherlock explicitly documents real-time checks for deepfakes and proxy candidates, and its Realtime Deepfake Detection + Detect mode consumes five credits and produces a post-interview integrity report. Its current vendor-owned pages do not specifically establish coverage for AI glasses or guarantee detection of every second-screen or off-device assistance method. Buyers with those risks should ask Sherlock to document the supported scenarios and validate them in a controlled pilot.
Sherlock reports that adversarial retraining increased overall detection accuracy from about 85% to more than 97%. The reviewed public science section does not provide the sample size, test-set composition, false-positive rate, confidence intervals, or study design needed to independently evaluate that result. Procurement teams should request the underlying validation evidence and use human review for flagged sessions.
Not in every mode. Detect Only lets Sherlock join the meeting, monitor, and report without candidate installation, while Prevent + Detect requires the candidate to install the Sherlock desktop application so it can block suspicious applications and report activity. Realtime Deepfake Detection + Detect is a separate safeguard mode that performs synthetic-media checks and consumes five credits.
Sherlock says it needs access to the camera, microphone, screen, and active browser tabs only during the interview, while recording occurs only if the interviewer enables it and a recording indicator is visible. Its data-storage help article says data remains on the user's system and is not stored or uploaded unless the user explicitly shares it with the interviewer. However, the privacy policy and DPA describe Sherlock collecting, processing, retaining, returning, and deleting personal data, so buyers should obtain a mode-specific data-flow and retention map before deployment. The privacy notice says visual and interaction signals are not used for biometric or unique identification.
Sherlock generates alerts and a post-interview report containing an integrity score, risk classification, and detected anomalies. Its terms state that Sherlock is a decision-support tool and does not make final employment, hiring, or eligibility decisions. Employers remain responsible for reviewing the context, interpreting the output, and making the hiring decision.
Sherlock documents Google Calendar, Microsoft Outlook, and Apple Calendar connections, plus interview workflows using Zoom, Google Meet, and Microsoft Teams. Its pricing page says ATS integrations are available, but the reviewed public vendor pages do not name supported ATS products or document the exact connection available on each plan. Buyers should confirm their specific ATS, data flow, and plan eligibility before purchasing.
Yes. Sherlock offers AI Fluency Observation for organizations that permit selective AI use and want to evaluate how effectively a candidate uses those tools instead of treating every AI signal as prohibited conduct. Buyers can purchase Fraud Detection alone, combine it with AI Fluency, or add both AI Fluency and Note Taking, and the employer should define and disclose the permitted-use policy before interviews.
Sherlock's privacy notice says it does not train AI models on personal data. Its DPA is more specific: Customer Personal Data is not used to train or fine-tune general-purpose models for other customers unless the customer explicitly opts in in writing, while de-identified or aggregated data may be used for analytics and service improvement. The default is therefore no cross-customer general-purpose training, but a written opt-in path exists.
Sherlock AI is primarily a live-interview integrity layer for human-led video calls, with Fraud Detection Starter listed at $100 per month for 10 interviews. Interviewer.AI centers on asynchronous one-way and AI-avatar screening; its Professional plan is $399 per month for 120 interview credits and includes interview fraud checks, and it documents a 14-day trial with no charge until the trial ends. Sherlock is the closer fit for monitoring existing live interviews, while Interviewer.AI is broader for automated pre-screening and provides a documented evaluation period that Sherlock does not publicly establish.
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