Page 47 - Cyber Warnings

Like the biological immune system, such an approach can instantaneously and automatically
uncover infections.

The Enterprise Immune System can also undertake the necessary actions, such as creating
digital antibodies, without the need for active human intervention.

Rather than rely on automated rule-based approaches which can only protect against known
threats, organizations should also incorporate a machine learning approach to continuously
monitor the network and quickly uncover emerging threats that have managed to slip past
perimeter defenses.

Humans, for their part, should also let machine intelligence do the heavy lifting of detection and
focus on complementary skillsets like high-level threat analysis and mitigation.

Via such high-level self-learning defenses, it is now possible to give companies a fighting
chance to protect themselves against the relentless assault of advanced and automated cyber
threats.

About the Author

Dave Palmer is the Director of Technology at Darktrace. A cyber security technical expert with
more than ten years' experience at the forefront of government intelligence operations, Dave
has worked across UK intelligence agencies GCHQ and MI5, where he delivered mission-
critical infrastructure services, including the replacement and security of entire global networks,
the development of operational internet capabilities and the management of critical disaster
recovery incidents.

At Darktrace, Dave oversees the mathematics and engineering teams and product strategy. He
holds a first class degree in Computer Science and Software Engineering from the University of
Birmingham.

Dave is regularly approached for counsel on data breaches and threat actors. His insights on
the recent Ashley Madison, Sony Pictures Entertainment and TalkTalk data breaches have
been cited extensively.

For any further inquiries, please contact Alice Goodman at [email protected].

47 Cyber Warnings E-Magazine October 2016 Edition
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