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Fujitsu Develops AI Technology to Determine the Necessity of Cyberattack Responses
Fujitsu Develops AI Technology to Determine the Necessity of Cyberattack Responses

Fujitsu Develops AI Technology to Determine the Necessity of Cyberattack Responses

Fujitsu Laboratories Ltd. announced that it has developed an AI technology that automatically determines whether action needs to be taken in response to a cyberattack.

When a business network has been hit with a cyberattack, various security appliances detect the attack on the network’s servers and devices. Conventionally, an expert in cyberattack analysis then manually investigates and checks the degree of threat, to determine whether action is needed to minimize damage.

To secure the necessary training data needed to develop highly accurate AI technology, Fujitsu Laboratories has now developed a technology that identifies and extracts attack logs, which show the behavior of a cyberattack, from huge amounts of operations logs. It also developed a technology that expands on the small number of training data extracted in a manner that does not spoil attack characteristics. This generates a sufficient amount of training data.

In simulations using these technologies, they achieved a match rate of about 95% in comparison with experts’ conclusions regarding the need for action, and they did not miss any attack cases that required a response. The time necessary to reach a conclusion was also shortened from several hours to several minutes.

By using these technologies, countermeasures can quickly be put in place for cyberattacks that have been determined to require action, contributing to business continuity and the prevention of loss.

About the Newly Developed Technology

 

Fujitsu Laboratories has developed technologies to secure sufficient amounts of training data related to targeted attacks required for the creation of highly accurate, AI determination models. Features of the developed technologies are outlined below:

  1. Training data extraction technology

Based on the know-how Fujitsu has accumulated in its security-related business and research, as well as from about seven years’ worth of actual attack analysis data, Fujitsu Laboratories has built a database of attack patterns that includes commands and parameters linked to intelligence activities of targeted attacks.

  1. Training data expansion technology

This technology generates simulations of new intelligence gathering activities-a type of targeted attack-without losing attack characteristics.

Effects

Fujitsu Laboratories combined the newly developed technologies with its own Deep Tensor AI technology, and ran evaluative testing on the determination model that had been trained on the new training data. Run in a simulation using about four months of data-12,000 items-the technologies made an approximate 95% match with the findings that a security expert generated through manual analysis, achieving a near equal determination of response necessity.

With these AI technologies, determinations of the necessity of action, which until now have taken an expert several hours to several days, can be automatically made with high accuracy from tens of seconds to several minutes. Furthermore, by combining these technologies with Fujitsu Laboratories’ high-speed forensic technology, which rapidly analyzes the whole picture of the status of damage from a targeted attack, the response sequence, from attack analysis to instructions for action, can be automated, enabling immediate responses to cyberattacks and minimizing damage.

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