InCyber is revolutionizing the insider threat fraud prevention market. Our system offers True Prediction of Insider Threats™ (TPIT)™. InCyber invented the first solution that uses internal and external sources to red flag organizations’ most potentially dangerous employees and contractors. InCyber can actually predict insider threats within a company, based on user logs and data, integrative data inputs of both internal (HR meta-data) and external (corporate and public) sources, advanced mathematics and the Crystal Ball Ranking Method™, invented by InCyber. Our solution uses unique Machine Learning Techniques, Fuzzy Logic, Crowd Sourcing Capabilities and advanced Behavioral Analytics to predict and provide both advance warning of impending insider attacks and identification of the individuals who pose the greatest threat. This unprecedented level of defense offers companies an invaluable edge that other present-day solutions do not provide.
We created the first cyber prediction solution that profiles employees by using both internal and external information. InCyber has developed the only solution that profiles and predicts malicious or negligent activities by insiders weeks or months ahead of breaches. We are able to shine a bright red light above the heads of potential threats by using Machine Learning, Behavioural Analysis, Statistics, Probabilities, Crowd Sourcing and other mathematical methods we invented. To obtain the best results several different algorithms are applied and used within the process. The InCyber PAS™ generates a Final Prediction Score™ (FPS)™ for each user (insider) based on their past activities as well as other “external parameters”.
Insider Threats, Fraud.