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Darktrace is the world’s leading AI company for cyber security.
Created by mathematicians from the University of Cambridge, Darktrace’s Enterprise Immune System uses AI algorithms that mimic the human immune system to defend enterprise networks of all types and sizes.
Our self-learning approach is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems.
By applying its unique, unsupervised machine learning, Darktrace has identified 63,500 previously unknown threats in over 5,000 networks, including zero-days, insider threats and subtle, stealthy attacks.
Darktrace is headquartered in San Francisco and Cambridge UK, and has 32 offices worldwide. For more information, visit www.darktrace.com
Leveraging AI for Dynamic & Surgical Autonomous Response for Cyber Defense Wed 3rd Oct 14:20 - 14:50
Leveraging AI for Dynamic & Surgical Autonomous Response for Cyber Defense
Proposing a new approach to cyber defence, which uses dynamic AI systems that can counter the activity of malicious threats. This new advanced AI technology can autonomously contain and monitor relevant threats, increasing confidence that a problem is emerging before automatically stopping the threat without interrupting normal business and employee activities.
Time / Place
Wed 3rd Oct 14:20 to 14:50
Cyber Security Keynote Theatre
Using Machine Learning for Real-Time Threat Detection Across OT & IT Thu 4th Oct 11:00 - 11:30
Using Machine Learning for Real-Time Threat Detection Across OT & IT
In an era where OT and IT are increasingly converging, the threat to critical infrastructure is growing and the need to understand and secure complex networks has become unavoidable. Modern industrial networks are highly complex systems involving the interaction of diverse and bespoke devices – legacy products, proprietary protocols, and custom solutions often work side by side with corporate IT technologies and the new generation of Internet of Things devices. The challenge of providing full coverage of enterprise, industrial and IoT environments has never been greater, meaning innovations using machine learning and AI must be explored.
Time / Place
Thu 4th Oct 11:00 to 11:30
Access Plus: IoT Theatre