Flanck AI
Website unreachable since Nov 4, 2026
Flanck provides real-time, AI-powered screen-level threat detection that prevents cyberattacks caused by human error. The platform monitors user screens to identify social-engineering attempts and block data exfiltration at the moment of risk, operating invisibly in the background without disrupting workflows. Flanck is currently seeking design partners to pilot the platform.
- Cybersecurity
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
95% of cybersecurity breaches originate from human error, yet employees remain the primary target for cybercriminals exploiting human vulnerabilities rather than system flaws. Traditional security awareness training programs have proven insufficient, and once a mistake is made, it is often too late to prevent costly data breaches.
Solution
Flanck delivers real-time, AI-powered screen-level threat detection that proactively prevents cyberattacks before they happen. The platform monitors user screens to identify social-engineering attempts and potential data exfiltration in real time, intervening at the moment of risk rather than relying on post-incident response. By operating invisibly and frictionlessly in the background, Flanck ensures security remains effective even when employees make mistakes, addressing the human factor that other cybersecurity approaches overlook.
Target Audience
Primary customers are enterprises and security teams seeking to reduce breach risk from human error, particularly organizations with high-value data that have found traditional security awareness training insufficient.
Features
- Real-time social-engineering threat detection powered by AI, identifying malicious patterns as they occur on screen
- Proactive data exfiltration protection that blocks unauthorized data transfers before they leave the organization
- Invisible, frictionless deployment that requires no change to employee workflows or daily operations
- Screen-level monitoring that catches human errors at the point of action, unlike training-based or perimeter-focused solutions