Securing the EDGE and IOT from Data in Transit attacks. Live at Milipol 2023

The UNICUS UOS is deployed in a Native implementation from within any cloud, private (VMware, KVM) public (AWS, Azure, Google) or Hybrid as a small footprint, yet it is very high performing, scales with every CPU increase and on tap, across millions of data in transit transactions per second and beyond. Infinite scaling for data in transit cyber security-as-a-Service when hosted by a collaboration partner’s service or embedded in an EDGE product (chip set). It sits across all IP IOT devices from the UNICUS toolkit, the architecture provides Core and Edge ML based on an open standards strategy and operates at all OSI-7-Layer protocols, with up to Quantum Safe Encryption for secret and through Network, Application and Content/media layers. Smart Integration, plus the build automations. Machine Learning and AI is extremely useful to efficiently process large volumes of data captured from hordes of devices and sensors from the battlefield to the medical ward in order to obtain valuable and critical information. This information helps to take the time critical decisions by the officers and plot strategic actions to combat the enemy. But having data in transit at risk of cyber attack is now a crucial element to be defended against with PIA (protect, intercept, archive) policy by design. IoT can help the military in any kind of operation like battlefield combat, spying and surveillance an enemy base or a terrorist hideout, Search and Rescue, Reconnaissance and to gather information. UNICUS UOS RTC and UNICUS EDGE SVSS and IOT delivers security in defence today.

SNITCH Attack Intelligence   +++  91,787 attacks from, location United States    +++  12,818 attacks from, location United States    +++  498 attacks from, location Poland    +++  350 attacks from, location United States    +++  116 attacks from, location United States    +++  New attack source, France,     +++  New attack source, Hong Kong,     +++  New attack source, United States,  
2-6 Boundary Row,
South Bank,

© UM Labs 2021. All Rights Reserved.  Privacy Policy | Cookie Policy

Designed and developed by mtc