Darktrace Announces New, Self-Learning Cyber Intelligence Platform
Darktrace, founded by world-class machine learning specialists and operational government intelligence experts, today announced the launch of its self-learning Darktrace Cyber Intelligence Platform version 2. Darktrace gives customers the ability to detect anomalies in real time that go undetected by existing security tools, thanks to its ground-breaking Enterprise Immune System technology that learns 'self' and what is normal and abnormal activity within an organization.
Fifty of the world's largest companies use Darktrace's cutting-edge technology to protect against advanced external and insider cyber threats by detecting emerging anomalies in real time. This allows cyber analysts to investigate and mitigate in-progress incidents.
Powered by advanced Bayesian mathematics and machine learning developed at the University of Cambridge, Darktrace is at the forefront of a step-change in the way organizations approach this new era of cyber-attacks. Its adaptive cyber intelligence platform is used to protect major critical national infrastructure providers from constantly-evolving attack methods.
Rather than producing a flood of false positive alerts, Darktrace analyzes raw data over time using probabilistic math, and anomalies are clustered, prioritized and visualized. With this unique intelligence, Darktrace's world-leading cyber specialists work closely with Security Operation Centers (SOCs) and threat analysts to quickly mitigate potential threats.
The new version of Darktrace implements a number of new, unique features including:
- Real-Time Total Network Immersion: the most complete visibility into all network interactions, including internal, device-to-device communications, border information, internet channels, log files, historical data etc., delivered by Darkflow, Darktrace's proprietary network data capture tool.
- User, Device and Network Correlation: Darktrace creates real-time mathematical models for every device and user within the organization and for the network as a whole, and correlates the findings to work out the probability of a threat scenario.
- 3D Threat Visualization: Darktrace's industry-leading Threat Visualizer is powered by proprietary 3D topological network projection technology (TNPT), which uniquely allows customers to analyze and traverse vast internal networks in real time.
As we continue to move away from the old model of building walls around an organization, including tools such as intrusion prevention systems, it is clear that the next generation of cyber defense solutions must assume that infiltration may already have happened," said Andrew France, CEO of Darktrace. "Darktrace is a great example of this new generation of self-learning systems, which constantly adapt to evolving information environments.
Darktrace's Enterprise Immune System approach delivers real-time insights into potentially interesting or worrying data events, giving our customers an advantage over the attackers in highly dynamic and fast-moving threat scenarios."
Darktrace Cyber Intelligence Platform version 2 has been made available immediately.
Darktrace is a world leader in Enterprise Immune System technology, a new category of cyber defense solutions based on pioneering Bayesian mathematics developed at the University of Cambridge. Darktrace addresses the challenge of insider threat and advanced cyber-attacks through its unique ability to detect previously unidentified threats in real time, as manifested in the emerging behaviors of the network, devices and individuals. Some of the world's largest organizations rely on Darktrace's adaptive, self-learning platform to spot anomalous activity within the enterprise, in sectors including energy and utilities, financial services, telecommunications, retail and transportation. Darktrace was founded by world-class machine learning specialists and operational government intelligence experts. The company is headquartered in Cambridge, UK, with offices in London, Milan, New York, Paris, San Francisco and Washington D.C.