DARKTRACE RELEASES ATTACK PATH MODELING RESEARCH

RNS Number : 5466C

Darktrace PLC

23 February 2022

 

PRESS RELEASE

Media Contacts

Jessica Cheney CommStrat (US)  [phone] [e-mail]  Kerrie Murphy SBM Comms (Australia) [phone] [e-mail]

Tom Bermingham Brands2Life (UK) [phone] [e-mail]

DARKTRACE RELEASES ATTACK PATH MODELING RESEARCH

Cambridge, UK - Wednesday February 23, 2022 - Darktrace, a global leader in cyber security AI, today announced that it has released its research on Attack Path Modeling: the technology that underpins the 'Prevent' product suite.  The research paper titled, 'Using graph theory to identify critical nodes within computer networks', details how graph theory can be used to map cross-domain, realistic, and risk-assessed attack paths across an entire digital enterprise.

A skilled cyber adversary strives to exploit vulnerabilities spanning a wide variety of domains, internal and external to an organization. As a result, sourcing data across those domains is critical to creating a realistic, end-to-end model of attack paths exploited by cyber adversaries. If one or more of these domains is overlooked, the security team will be unable to fully identify or evaluate vulnerabilities to attack; nor will it be possible to optimize defensive resources and remediation efforts.

Emerging from research carried out in Darktrace's Cyber AI Research Centre in Cambridge, the Prevent product suite is designed to tip the scales in favour of the defender by using AI to identify pathways which lead to key assets, and then make it harder for an attacker to access those pathways by hardening the environment. As a proactive risk-reducing approach, Attack Path Modeling gives security teams the ability to assess risk, identify vulnerabilities, and take counter measures to protect key assets, even disrupt the "disruptors."

To support its Attack Path Modeling, a capability has been developed that models probable attacks against an organization's crown jewels by analysing real-time telemetry passively and continuously. It emulates what an attack would look like using real data, specific to that organization, to create a unique understanding of whether the attack would be successful against existing defences. This initial module has been rolled out to Darktrace's early adopter customers for testing, feedback and user interface refinement.

Darktrace has published supporting resource including:

· A new  webpage   for Darktrace's Cyber AI Research Centre, consolidating  research titles and abstracts detailing the most recent breakthroughs in Attack Path Modeling 

· A research paper titled, 'Using graph theory to identify critical nodes within computer networks', which details how graph theory can be used to map cross-domain, realistic, and risk-assessed attack paths across an entire digital enterprise

· An Attack Path Modeling  webpage , diving into the new technology and how it will turn the tables on cyber adversaries

· A new  Discourse Paper   entitled ' Prevent: Security through Adversity ', exploring the core concepts behind the 'Prevent' product family

· A new Attack Path Modeling  video exploring how the technology will leverage information from across the digital estate to determine the most realistic, end-to-end attack paths an adversary may take 

"Darktrace research marks a major shift in mindset that will be critical in preventing cyber-attacks and we are proud to be leading the way. With Darktrace's Attack Path Modeling, security teams will not only be able to react to threats, but get proactive by emulating and simulating the very paths an attacker will likely follow to get to critical assets," commented Jack Stockdale OBE, Chief Technology Officer at Darktrace. "Think of it as turning the tables on 'bad actors.' This research has the potential to give security teams ways to 'future proof' people and organizations against unknown threats. It gives them the power to shift to offense to defeat an aggressive enemy."

About Darktrace

Darktrace  (DARK.L), a global leader in cyber security AI, delivers world-class technology that protects over 6,500 customers worldwide from advanced threats, including  ransomware  and  cloud  and  SaaS  attacks. Darktrace's fundamentally different approach applies  Self-Learning AI  to enable machines to understand the business in order to autonomously defend it. Headquartered in Cambridge, UK, Darktrace has more than 1,700 employees and over 30 offices worldwide. Darktrace was named one of TIME magazine's 'Most Influential Companies' for 2021.

 

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