BT has developed an epidemiology based cyber security prototype, “inflame”, to automatically detect and respond to cyber-attacks before they compromise a network.
The solution was developed through epidemiological modelling which is typically associated with the spread of viruses among human populations and has been critical in analysing and managing the spread of COVID -19 over the past 20 months.
The deep reinforcement training and learning undertaken in the development of Inflame allows it to automatically model and respond to a detected threat within an enterprise network. These responses are also underpinned by ‘attack lifecycle’ modelling, which assesses real-time security alerts against established patterns to understand the current stage of an ongoing cyber-attack. This insight is used to predict the next stages of an attack and rapidly identify the best response to prevent it from progressing any further.
“We know the risk of cyber-attack is higher than ever and has intensified significantly during the pandemic. Enterprises now need to look to new cybersecurity solutions that can understand the risk and consequence of an attack, and quickly respond before it’s too late,” said Howard Watson, Chief Technology Officer, BT.