Security Innovation Solutions

that protects every day 21st century communications.

Cyber Criminals want data and protecting all data in transit is UM-Lab’s mission, security by design.

Research &
Development

UM-Labs R&D has been set up to design and look to create a better way of protecting against real-time communication cybercrime.

UM-Labs
Innovation

The cyber security products developed for the first wave of Internet applications do not adequately protect IP based RTC services. These products can hamper the successful deployment of RTC.

Unicus™

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.

UM-Labs are an unrivalled leader for RT Communications Cyber Security

As an R&D company the technology is sold and incorporated either as a total solution or part of an end to end compliant solution, which may include protection, intercept and archive allowing full compliance of data protection laws and other financial regulations.
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Internet of things

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

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.

Unicus™

To protect, intercept and archive all ‘Data in Transit’ over multi levels of the internet network/application/media.

News &
Updates

Peter Cox, Inventor and CEO at UM-Labs R&D has moved LEM-AI to the next level, hear about this first hand at the AI -World Congress in London on the 19th June 2025

As cyber threats increasingly target real-time communications and grow ever more sophisticated, traditional security measures are no longer sufficient. The UM-Labs AI Large Event Model (LEM) introduces a revolutionary approach to cybersecurity for real-time traffic by leveraging AI-powered threat detection, predictive intelligence, and automated response mechanisms. With over a decade’s

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Testimonials

SNITCH Attack Intelligence   +++  111,781 attacks from 137.184.154.222, location United States    +++  67,301 attacks from 91.121.218.38, location Belgium    +++  8,781 attacks from 91.121.63.97, location France    +++  1,769 attacks from 185.210.157.50, location United Kingdom    +++  352 attacks from 207.167.67.30, location United States    +++  119 attacks from 103.176.90.220, location Hong Kong    +++  New attack source, United States, 207.167.67.22     +++  New attack source, United States, 206.168.35.74  
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