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As of last week, Darktrace announced its intention to acquire Cybersprint, a Dutch provider of advanced cyber security services and a manufacturer of special tools that use machine learning algorithms to detect cyber vulnerabilities, in a deal valued at about $ 53 million.

Based on attack path modeling and graph theory, Darktrace’s platform represents organizational networks as directional, weighted graphs with nodes where multi-line segments meet and edges where they join. In order to estimate the probability that an attacker will be able to successfully move from node A to node B, a weighted graph can be used. Understanding the insights gained will make it easier for Darktrace to simulate future attacks.

Darktrace’s current cybersecurity solution, which provides detection and response to cyber threats in real-time, will be enriched by Cybersprint’s advanced tool, which employs artificial intelligence to collect information on possible attacks.

Based on attack path modeling and graph theory, Darktrace’s platform represents organizational networks as directional, weighted graphs with nodes where multi-line segments meet and edges where they join. In order to estimate the probability that an attacker will be able to successfully move from node A to node B, a weighted graph can be used. Understanding the insights gained will make it easier for Darktrace to simulate future attacks.

Through its platform, Cybersprint provides organizations with a solution for conducting intrusion tests. The system allows organizations to conduct continuous scans and identify weaknesses in their corporate networks without having to hire external security personnel. As today’s environment is more dynamic than ever before, and many intrusion testing reports become irrelevant within days of submitting, the combination of these two tools can potentially provide real-time protection for companies and organizations.

Cybersprint’s new acquisition of Darktrace allows it to formulate a continuous artificial intelligence system in the field of cyber security, based on machine learning algorithms that constantly adapt to the IT environment they protect.