Executive Summary

Accidental data exposure during screen sharing is a persistent operational risk for enterprises, affecting knowledge workers, customer support teams, sales demos, and IT support across an estimated 50 million knowledge-worker seats. Even routine remote interactions can surface emails, credentials, or customer data to unintended viewers, creating compliance, reputation, and financial exposure for companies that must manage stricter PII and breach regulations. The product is an invisible, low-latency AI overlay that runs on the endpoint to detect and redact sensitive content in real time before it reaches the shared screen: on-device OCR and semantic classifiers, configurable enterprise policies, optional human-in-the-loop approval, and an audit trail for post-event compliance. Integration paths include a virtual display/driver approach and SDKs for major conferencing platforms; the focus should be on per-seat performance and minimal UX friction so the overlay feels invisible to legitimate users. The timing is favorable: remote work increases the frequency of screen sharing, on-device AI enables privacy-preserving, low-latency processing, and regulatory pressure drives buyers toward preventative controls; combined these factors support a $10.0B addressable market (50M seats at $200 ACV) with a high market score (90/100) and strong revenue potential (88/100). Enterprises looking to avoid fines and post-breach remediation are more likely to pay for proactive tooling than for after-the-fact audits. This idea can stand out by prioritizing reliability and ergonomics—low false-positive rates, easy override paths for legitimate sharing, and strong endpoint performance—while delivering enterprise policy and audit features expected by security teams. Real challenges include cross-platform integration complexity, the engineering cost of robust on-device models across hardware profiles, and the long enterprise sales cycle; these are surmountable but should factor into go-to-market and technical roadmaps from day one.

Market Opportunity

Prevent accidental data leaks during screen sharing with an invisible AI overlay targets a $10.0B = 50M knowledge-worker seats x $200 ACV total addressable market with medium saturation and a year-over-year growth rate of 15%.

Key trends driving demand: Remote-work proliferation -- more frequent screen sharing and remote support increases accidental exposure risk and demand for tooling.; On-device AI models -- smaller, efficient models enable low-latency, privacy-preserving redaction without cloud roundtrips.; Regulatory pressure on PII -- tighter fines and compliance requirements push enterprises to adopt preventative controls rather than after-the-fact audits.; Shift from reactive monitoring to proactive prevention -- companies prefer tools that stop data leaks in real time rather than post-incident forensics..

Key competitors include Teramind, Proofpoint / ObserveIT, Microsoft Purview / Microsoft 365 DLP, FullStory / LogRocket (adjacent), BeyondTrust / TeamViewer (remote-support players).

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Prevent accidental data leaks during screen sharing with an invisible AI overlay

Executive Summary

Market Validation

Market Opportunity

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