Flanck AI

With 95% of attacks caused by the 'human factor' (according to IBM Security study), and around 90% of first entry point for all cyber attacks being phishing (according to many various publications), coupled with attackers utilizing Gen AI and well resourced often with State backed funding there is an ever increasing gap in the social engineering element of Cyber Security. Flanck's unique, patent pending, approach uses semantically captured screen shots and analyzes these through a fine tuned AI model to flag, in real time, for scams and insider threats (such as data exfiltration) - automatically deleting screenshots and metadata not flagged. Our methodology allows Flanck's AI to learn the different types of events of scams as they unfold, giving us the ability to flag zero day attacks. A deployable UI App (which requires little to no backend integration) it is highly future proof due to the ability to retrain with new 'prompts' should a new type of scam appear that evades our AI model. This can be undertaken swiftly and pushed through to the app. Flanck is a 'Guardian Angel' that sits on an employee’s shoulder seeing the pixels on the screen the employee sees thus enabling visibility even in encrypted environments and text hidden in metadata, and continues to be active as scams take you across multiple applications, such as from email to browser. Unlike employees it does not get drowsy nor ever have a lapse in attention.