BT to Deploy ‘Epidemiological AI’ Based on the Spread of Viruses in Humans to Combat Cyberattacks

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BT today announced that it has developed an epidemiology-based cybersecurity prototype, “Inflame”, which uses deep reinforcement learning to enable enterprises to automatically detect and respond to cyber-attacks before they compromise a network. Using the spread of viruses in human populations as a model to inform its AI, Inflame is a key component in BT’s recently-announced Eagle-i platform.

Epidemiological modelling is typically associated with the spread of viruses and diseases amongst human populations, and has been critical in analysing and managing the spread of COVID-19 over the past 20 months. Using the same principals of epidemiology, BT’s Inflame solution has been developed to understand how computer viruses and cyber-attacks spread across enterprise networks, and how to prevent them from happening.

To develop the technology, security researchers at the BT Labs in Suffolk, UK, built models of enterprise networks which were used to test numerous scenarios based on differing R rates[1] of cyber-infection. This testing enabled the research team to understand

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