The Enterprise Immune System: Embracing Probability to Mitigate Cyber Risk

By Rob Sass, Managing Director, North America, Darktrace

Data theft and intellectual property loss have been well-documented in the media, but the financial services industry also faces the more worrying threat of data compromise, where data is changed, manipulated or controlled. Imagine a situation where bank balances for 10,000 accounts are altered, without knowing which ones. This represents a frightening prospect for an industry which relies on market confidence and consumer trust. How do you find a threat when you don’t know what you are looking for?

Cyber threat is not just posed by external parties that infiltrate private systems and networks. Businesses also carry the threat within their networks and devices, which perimeter and signature-based defenses are, by nature, unable to defend against. The new reality of threat, where risk is ever-present and infiltration is trivial, means we need to get smart about the way we assess what is going on from inside our organizations, and learn how to detect threats as they emerge in real time, getting ahead of attackers before they can do real damage.

The most forward-thinking banks and financial services organizations are already implementing a new intelligence-led approach in the emerging category of Enterprise Immune System technology. Based on a new branch of Bayesian mathematics and advanced machine learning techniques, this unique technology understands ‘self’, and is capable of probabilistically modeling the normal behaviors of humans, devices and the enterprise as a whole, in order to detect genuine anomalies as they emerge in real time. It self-learns and adapts to today’s fast-moving and constantly changing business environment to defend against both advanced external actors and insiders.

The sheer complexity of modern financial systems and their exposure to very advanced threats make the Enterprise Immune System approach critical to financial services companies, as it allows them to maintain their crucial connections to a global workforce, supply chain and customer base. As organizations and attack methodologies continue to evolve, leaving even the strongest border defenses and best-trained security personnel struggling to keep up, this adaptive, self-learning approach deals with change and complexity pragmatically and effectively – without relying on rules or signatures.

Rob Sass, Managing Director, North America, Darktrace; +1 917 363 0822; email:; web:

Darktrace Cyber Intelligence Platform


About Darktrace
Darktrace is one of the world’s fastest-growing cyber defense companies and the leader in Enterprise Immune System technology, a new category of cyber 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.


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