Font Size: A A A


BT licensing analytics

BT is licensing the telecoms company’s cyber security visual analytics, SATURN, to QiO Technologies, an analytics and artificial intelligence software company.

BT says it developed SATURN to ingest and analyse huge amounts of data using AI, and then present a real-time visual representation of a network to users, such as cyber security engineers. As well as being used in-house by BT Security teams to protect BT, the analytics forms part of the Cyber Security Platform that BT offers to corporate customers.

SATURN combines data visualisation with patented machine learning techniques, allowing cyber people to uncover data patterns and increasingly, the firm says, predict and detect cyber-attacks at an early stage.

QiO Technologies delivers software for industrial engineers to simulate, predict and optimise business processes. By re-purposing BT’s SATURN, originally designed for network security, into QiO’s IIoT Foresight Platform, industrial customers will be able to analyse real-time data from machinery and sensors, for general engineers and data scientists. QiO works with such manufacturers as Rolls-Royce, Lloyd’s Register, Saudi Global Ports and Bahrain Fiber Glass.

Tim Whitley, MD Applied Research, BT Group, said: “This visual analytics technology was created by the BT Labs to help us tackle the growing challenges of cyber-crime, and has helped BT become a global leader in cyber security services. It’s great to see it develop beyond its original function to find wider applicability, enhancing the services provided by QiO.”

And Baz Khuti, Co-Founder and CEO of QiO, said: “The integration of BT’s innovative SATURN solution with QiO’s leading IIoT Foresight Platform® provides a competitive and cost-effective solution for ‘Data Citizens‘. The solution enables domain experts and data scientists to explore complex data sets from different sources and rapidly identify patterns and relationships for further analysis; improving productivity, transparency and collaboration. This ultimately reduces the time and cost of data science.”


Related News