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The Enterprise Immune System Using Machine Learning for Sophisticated Threat Detection Richard Ayre Account Manager

The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

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Page 1: The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

The Enterprise Immune SystemUsing Machine Learning for Sophisticated Threat Detection

Richard AyreAccount Manager

Page 2: The Enterprise Immune System: Using Machine Learning for Next-Generation Cyber Defense

Company Background• Founded in 2013 in Cambridge, UK• Started by mathematicians and government

intelligence specialists• Technology based on machine learning &

mathematics• HQs in Cambridge, UK & San Francisco • Over 1200 customer installations• 22 global locations• 600% year-on-year growth

“Darktrace is a game-changer” Virgin Trains

• The Queen’s Awards for Enterprise Innovation 2016

• Bloomberg Business Innovator 2016• ‘Security Company of the Year’ at Info

Security Global Excellence Awards 2016• ‘Best Insider Threat Detection and Solutions’

at Network Products Guide IT World Awards• Gartner ‘Cool Vendor’ 2015• World Economic Forum ‘Technology Pioneer’

2015

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Why is the Enterprise Immune System unique?

Learns ‘self’ For every individual user, device and network, using unsupervised machine learning

Detects insider & external threatsThat bypass traditional security tools

Real time Continually identifies anomalies, as they emerge

100% visibilityVisualizes entire network, auto-classifies threats and allows for in-depth investigations

Play-backAnalyzes and correlates events over time. Ability to replay incidents

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Machine Learning & Mathematics• Advanced Bayesian mathematics pioneered at the

University of Cambridge

• Recursive Bayesian Estimation detects subtle changes within data series in real time and adaptively iterates its models

• Numerous approaches used to classify the probability of an action based on previous and emerging behaviours

• No ‘a priori’ assumptions about good or bad – mathematical models are unique to your organisation

• Distribution is built from a complex set of low-level host, network and traffic observations or ‘features’

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Live demo of the Darktrace Threat Visualizer

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Case Study: BTIndustry• Telecommunications

Challenge• Large, widely dispersed network• Fast-evolving sophisticated threats• Wanted a solution that could parse complex

network data and detect previously unknown threats

Benefits• Real-time, dynamically updated visibility of entire

network• Confidence that previously unknown threats can

be detected within network before they do serious damage

• Enhanced their own security offerings with Darktrace’s expertise in unsupervised machine learning and Bayesian mathematics

• Defended against potential insider threat

“Darktrace’s machine learning and mathematics are extremely powerful in detecting activity that is abnormal and will be critical to our future cyber security offerings.”Mark Hughes, PresidentBT Security

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Case Study: Irwin Mitchell LLCIndustry• Legal

Challenge• Keeping up to date with rules & signatures• Protecting against potential threats, including APTs and cyber

security • Safeguard client data and confidentiality • Integrating multiple devices/vendors• Multiple portals and alert mechanisms

Benefits• Total network visibility• Assistance with root cause analysis • Mapping applications/services• Ability to investigate incidents in real time and ‘replay’ them • Take control of evolving situations

“With Darktrace, we can see threats earlier or as they are happening – this allows us to take control of a situation.”Mark Vivian, Head of IT Security at Irwin Mitchell

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Customer Testimonials“Darktrace is a game-changer - now we have a baseline of how our users, devices and network operate.” Louis Kangurs, IT Network Manager, Virgin Trains

“Darktrace has already identified threats with the potential to disrupt our networks.” Martin Sloan, Head of Safety and Security, Drax

“I intuitively feel that technology working as a self-learning immune system is the right way to do cyber defense.” Svein Ringbakken, Managing Director, DNK

“Darktrace has given us real visibility into all our digital

interactions.” Philip Aim, Managing Director, CreaCard

“Darktrace shines a light onto our systems, giving us a visual overview of what’s really happening ‘under the hood’ Conor Claxton, COO, Macrosynergy Partners

“Darktrace’s approach to cyber security is fitted with our strategy of making our cyber defence more proactive.” Alain Daubié, CIO, Sisley

“Darktrace’s machine learning and mathematics are extremely powerful in detecting activity that is abnormal and will be critical to our future cyber

security offerings.” Mark Hughes, President, BT Security

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Conclusion• Enterprise Immune System is unique

• Automatically understands network, devices, users

• Powered by machine learning and mathematics

• Learns ‘normal’ and detects emerging insider, unsignatured and external

threats

• No rules or signatures

• Installs in 1 hour

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Thank you