AI Case Study
British Telecom improves network security by using machine learning to detect real-time cyber threats
BT has deployed Darktrace's Enterprise Immune System to protect its network and large datasets. The system records daily patterns of network activity and creates a baseline model of the network. Any deviations or anomalies are classified as threat instantly and alerts are generated.
Fixed Line And Integrated Telecommunications Services
"According to DarkTrace, the Enterprise Immune System has enabled BT to be alerted to live or in-progress cyber threats, whether they originate outside or within the organization. The technology’s unique ability to constantly redefine its ‘understanding’ of the organization allows it keep BT one step ahead of modern threats, which are developing new ways to access networks, in ltrate datasets and cause damage.
By analyzing evidence from every user, device and network element, it builds powerful behavioral models of ‘normality’ for the network as a whole and, therefore, immediately detects any behavior or activity that deviates from the norm."
"Enterprise Immune System technology iteratively learns a unique ‘pattern of life’ (‘self’) for every device and user on a network, and correlates these insights in order to spot emerging threats that would otherwise go unnoticed."
"As one of the largest telecommunications companies in the world, BT has an extremely complex network and large dataset containing confidential customer information. With billion pound revenues and a worldwide reputation to protect, BT prioritizes cyber defense, as a critical business issue.
Today, cyber threats are ever-evolving and attackers are becoming more sophisticated and intelligent. Intrusions into BT’s networks could cause signi cant damage to not only their business but also the communication services as a whole in several countries across the globe. With a global workforce to manage, BT were seeking a cutting-edge technology to contribute to their cyber defense strategy and provide a solution to tackle the current threat landscape whilst maintaining a large, complex network."
According to the company
* 100% network visibility
* Able to stay ahead of ever-changing threats
* Automated threat classification
* Real-time incident monitoring and alerts
"Darktrace’s Enterprise Immune System is able to stay ahead of emerging threats due to its self-learning nature, which is rooted in machine learning and Bayesian probabilistic mathematics developed at the University of Cambridge. By analyzing evidence from every user, device and network element, it builds powerful behavioral models of ‘normality’ for the network as a whole and, therefore, immediately detects any behavior or activity that deviates from the norm."