Remote interviews face growing fraud risks from AI assistants and deepfakes. Sherlock AI uses multimodal adversarial machine learning to detect cheating with 97% accuracy. It analyzes device activity, audio environment, and candidate behavior in real-time. The platform also provides automatic notetaking and AI fluency observation. Trusted by leading global companies for interview integrity.



Remote interviews have become the standard for talent acquisition, but this shift has introduced a challenge that keeps HR teams up at night: how do you know the candidate sitting across from you is really who they say they are? The convenience of video interviewing has opened the door to new forms of cheating—AI assistants whispering answers, candidates Googling solutions in another tab, impersonation through deepfakes, or even hiring professional test-takers. These aren't hypothetical scenarios; they're happening right now, and traditional interview methods simply can't detect them.
Sherlock AI is an enterprise-grade interview integrity platform designed specifically to address these modern hiring challenges. Built by Spottable AI, Inc., a company headquartered in San Francisco, Sherlock AI uses a sophisticated approach called Multimodal Adversarial Machine Learning to detect fraud in remote and online interviews with remarkable accuracy.
What makes Sherlock AI different is its ability to analyze three critical signal sources simultaneously:
These signals feed into a Unified Classifier that has been trained on continuously updated对抗性 datasets. The system doesn't just look for obvious cheating; it's designed to catch nuanced, carefully orchestrated attempts to manipulate the interview process. The model specifically learns the difference between natural interaction patterns and adversarial behaviors, making it particularly effective at identifying sophisticated evasion techniques.
The results speak for themselves: Sherlock AI's detection accuracy has improved from approximately 85% to 97% as of 2025, earning the platform Product Hunt Top Post recognition. This isn't a theoretical capability—it's a proven solution being trusted by interviewers at leading global companies.
We understand that handling candidate data requires the highest level of responsibility. Sherlock AI is fully compliant with GDPR and CCPA/CPRA regulations, implementing robust security measures including encrypted data transmission and storage, role-based access controls, and comprehensive security monitoring. Importantly, all data collected through Sherlock is never used to train AI models—your candidate information stays private and secure.
It's worth noting that Sherlock AI is designed as a decision-support tool. We don't make final hiring decisions; we provide the evidence and insights that help your team make informed choices.
You can use these features to transform your hiring process from one plagued by uncertainty into a streamlined, trustworthy operation. Each capability is designed with real hiring workflows in mind, not just technical specs.
You can use this feature to identify and prevent AI-assisted cheating and deepfake fraud in your remote interviews. Sherlock's multimodal signal analysis examines candidate behavior in real-time, flagging anomalies that indicate suspicious activity—whether it's an AI assistant feeding answers, a candidate searching for solutions, or identity impersonation. The system has been specifically trained to recognize evasion techniques, making it effective against even carefully planned cheating attempts. With 97% detection accuracy, you can trust the results when fraud is detected.
You can use this feature to evaluate how effectively candidates leverage AI tools when your company allows their use during problem-solving assessments. Rather than simply banning AI (which limits your ability to assess modern tool usage), Sherlock observes and scores candidate AI interactions. This gives you valuable insight into a candidate's AI fluency—their ability to prompt-engineer, iterate on AI outputs, and integrate AI into their workflow. It's a forward-looking assessment that aligns with how modern workplaces actually operate.
You can use this feature to eliminate the distraction of manual note-taking during interviews. Sherlock automatically generates detailed, structured notes from your conversations—no more divided attention or incomplete recollections. The platform analyzes both audio and video to create comprehensive interview reports, including key discussion points, candidate responses, and behavioral observations. You can focus entirely on the conversation, knowing you’ll have a complete, searchable record afterward.
You can use this feature to build an undeniable case when you need to challenge suspicious interview behavior. Sherlock provides a complete evidence trail for every flagged incident—visual dashboards showing exactly when anomalies occurred, what triggered the alert, and the supporting data. This evidence is crucial for HR disputes, compliance audits, or simply documenting your hiring decisions with confidence.
You can use this feature to seamlessly connect Sherlock with your existing recruitment workflow. The platform integrates with major Applicant Tracking Systems through API connections, allowing you to launch Sherlock sessions directly from your existing hiring pipelines. This integration is available starting from the Starter plan, ensuring teams at any scale can benefit.
You can use this feature to gain enterprise-level insights into your hiring patterns and interviewer performance. The customizable reporting dashboard provides visibility into fraud detection trends, interview effectiveness metrics, and team performance data. This feature is exclusive to Enterprise plan customers and includes dedicated support for building custom reports tailored to your organization's needs.
Understanding whether a product fits your situation starts with seeing it in action. Here's how different teams apply Sherlock AI to solve real hiring challenges:
If you're hiring developers, engineers, or technical roles, you face a particularly challenging fraud landscape. Technical interviews often require problem-solving under time pressure—a perfect setup for AI assistance, tab-switching to reference solutions, or even hiring external help.
Sherlock AI monitors screen activity, detects unauthorized application use, and analyzes behavioral patterns in real-time. When a candidate attempts to access a coding resource or receives external assistance, Sherlock flags it with 97% accuracy. You get a clear, evidence-backed result rather than a suspicion you can't prove.
Expected outcome: Interview integrity that matches in-person assessments, with concrete evidence for every flagged incident.
If your company wants to embrace AI tools but worries about over-reliance, you face a genuine dilemma. Banning AI entirely means you can't assess how candidates use modern tools. Allowing it freely means losing insight into genuine problem-solving ability.
Sherlock's AI Fluency Observation solves this by letting you permit AI use while measuring effectiveness. You'll see not just whether a candidate used AI, but how skillfully they prompted it, whether they verified outputs, and how efficiently they integrated AI into their solution process. This transforms AI from a testing liability into an assessment opportunity.
Expected outcome: Data-driven understanding of candidate AI proficiency, aligned with your company's stance on tool adoption.
If you're a hiring manager conducting multiple interviews per week, you know the struggle of balancing conversation with documentation. Either you miss key moments while scribbling notes, or you rely on memory afterward and lose critical details.
Sherlock automatically generates comprehensive interview notes—translating your conversation into structured insights you can review, share with hiring teams, and reference during decision-making. Interviewers stay fully present, candidates get better attention, and your hiring team gets consistent, complete documentation.
Expected outcome: Higher-quality interviews with zero extra effort, plus searchable, shareable candidate records.
If your organization conducts hundreds of interviews monthly, manual fraud detection becomes unsustainable—expensive, inconsistent, and prone to human error. You need scalable solutions that maintain quality across volume.
Sherlock AI handles规模化 detection across your entire interview program, with centralized analytics showing fraud patterns, interviewer performance, and hiring trends. Automated alerts mean suspicious activity gets caught without requiring manual review of every session.
Expected outcome: Significant reduction in manual review costs, improved consistency, and comprehensive audit trails.
If you're an HR leader responsible for hiring process quality, you likely struggle to objectively measure interviewer effectiveness. What differentiates a great interview from a mediocre one beyond hiring outcomes?
Sherlock provides data-driven insights into interviewer performance—session preparation, questioning depth, candidate engagement, and evaluation completeness. This transforms subjective performance into measurable metrics you can coach against.
Expected outcome: Quantifiable interviewer benchmarks, coaching opportunities, and continuous hiring process improvement.
If you're recruiting globally, candidates may complete interviews from diverse, uncontrolled environments—making traditional proctoring impossible. You need integrity solutions that work regardless of geography.
Sherlock's cloud-based platform operates anywhere, providing consistent monitoring and detection regardless of candidate location. There's no need for expensive on-site proctoring or timezone-aligned scheduling.
Expected outcome: Fair, secure global hiring that doesn't sacrifice integrity for convenience.
For technical team hiring, prioritize the fraud detection capabilities. For business roles and creative positions, AI fluency assessment often delivers more valuable signal. Many teams use both—fraud detection for technical screens, fluency observation for final rounds.
We offer three tiers designed to support teams at different scales. Here's how they compare:
| Plan | Price | Interviews/Month | Per-Extra Interview | Key Features | Best For |
|---|---|---|---|---|---|
| Starter | $100/month ($80/month annual) | 10 included | $10 each (min 100) | ATS Integration, 24/5 Chat Support | Small teams, pilot programs |
| Growth | $1,500/month ($1,200/month annual) | 300 included | $5 each (min 100) | ATS Integration, 24/5 Chat + Shared Account Manager | Growing teams, established hiring pipelines |
| Enterprise | Custom pricing | Bulk discounts | Custom | Enterprise Security, Dedicated Account Manager, Custom Integrations, Advanced Analytics Dashboard, 24/7 Premium Support | Large organizations, high-volume hiring |
The Starter plan is ideal if you're just beginning to address interview integrity or have smaller hiring needs. At $100/month, it's accessible enough to run a pilot program and validate the impact on your process. The Growth plan makes sense for teams that have confirmed fraud as a real issue and need capacity—300 interviews monthly with significantly reduced per-session costs. The Enterprise tier is structured for organizations requiring custom solutions, advanced analytics, and premium support.
All plans include unlimited seats (within fair use policies), meaning your entire hiring team can access the platform without per-user charges.
Not sure which plan suits you? We recommend starting with Starter to experience the detection capabilities firsthand. Most teams can validate ROI within the first month based on fraud incidents caught.
Sherlock collects device identifiers, browser and operating system information, usage data, and candidate visual and interaction signals during interviews. All data handling follows strict security protocols and complies with applicable privacy regulations.
Sherlock AI's data practices comply with GDPR and CCPA/CPRA requirements. Specific data storage locations are detailed in our Privacy Policy, which you can review at withsherlock.ai/privacy. We maintain robust security measures regardless of storage location.
Sherlock operates with employer authorization and requires candidates to provide consent as part of the interview setup. Candidates must grant browser and device access permissions. Our system is designed to comply with all applicable legal requirements for notice and consent.
While Sherlock achieves 97% detection accuracy, no system can guarantee 100% effectiveness against all possible methods. Highly sophisticated evasion techniques in extreme scenarios may occasionally evade detection. Our Terms of Service clearly states that we don't guarantee perfect accuracy. However, this detection rate significantly exceeds industry standards and traditional monitoring methods.
Sherlock uses multimodal adversarial machine learning to analyze three signal categories simultaneously: device activity (screen changes, application switches, clipboard access), audio environment (background sounds, voice patterns), and candidate behavior (eye movement, response timing, interaction consistency). These signals feed into a unified classifier trained specifically to distinguish natural interactions from adversarial patterns designed to evade detection.
Yes. Sherlock integrates with major Applicant Tracking Systems through API connections. This allows seamless incorporation into your existing recruitment workflow. Integration support is available starting from the Starter plan.
No. Sherlock is a software-based solution that works through standard browsers and devices. Candidates don't need to install special applications or have specialized hardware. This makes deployment straightforward and candidate-friendly.
Interview fraud is a real, growing challenge that traditional methods weren't designed to address. Sherlock AI gives your team the evidence-backed integrity you need to make confident hiring decisions—whether you're screening a single candidate or scaling across global teams.
Learn more and get started: www.withsherlock.ai
Schedule a demo: Book a personalized walkthrough with our team to see Sherlock in action and discuss your specific needs.
Contact us: team@withsherlock.ai
Remote interviews face growing fraud risks from AI assistants and deepfakes. Sherlock AI uses multimodal adversarial machine learning to detect cheating with 97% accuracy. It analyzes device activity, audio environment, and candidate behavior in real-time. The platform also provides automatic notetaking and AI fluency observation. Trusted by leading global companies for interview integrity.
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