UM-Labs R&D has been set up to design and look to create a better way of protecting against real-time communication cybercrime.
The UM Labs innovation is about recognising that cyber-attack surfaces require multi-level controls to be coordinated. Unicus™ UOS protects with an artificial intelligence and delivers a machine learning integration of network, application, and content/media controls at all levels of the OSi model with feed-back between those levels.
As the challenges of security for the internet of things stem from lower network protocols, lower CPU processing via censors and added to this, faster 5G networks/edge computing in any cloud, cybercrime attacks more now than ever across billions of devices. Connecting via standard Internet Protocols, UNICUStm UOS a hardened operating system extends an encrypted blanket for all data in transit, allowing LoRa networks and lower process censors in firmware to be fully secured.
SNITCH provides real-time intelligence on current fraud attacks on VoIP and UC systems. Information is gathered from a global network of Honeypots and from deployed Unicus systems. Unicus uses the SNITCH network to detect and block potentially fraudulent activity. The SNITCH database registers over 4 million new attacks per day.
To protect, intercept and archive all ‘Data in Transit’ over multi levels of the internet network/application/media.