Fujitsu Laboratories today announced the development of AI technology to improve accuracy in detecting malware intrusions into networks within organizations, such as corporations, through an extension of its proprietary Deep Tensor AI technology, which can learn from graph-structured data. In recent years, as cyberattack methods have grown more sophisticated, it has become ever more important to build post-intrusion countermeasures against attackers who use specialized malware to invade a system, especially in targeted cyberattacks. As methods, frequency, and scope of attacks made by malware that has invaded a system constantly evolve over time, and because they blend into the day-to-day activity on a network, it is necessary to take a more comprehensive view of the various activities of malware in order to detect them.