SecureBase Inc. will officially launch its AI-driven external attack surface management service, “ShinobiScan EASM,” in March 2026.
As digital transformation advances and cloud usage and remote work expand, the number of IT assets owned by companies is increasing and becoming more scattered, and publicly available assets that could serve as the starting point for cyberattacks are also becoming more widespread. According to a survey by the National Police Agency (2024), of the 222 ransomware cases in Japan, more than 80% were intrusions via publicly available assets such as VPN devices and remote desktops. Meanwhile, at many companies, the rapid expansion of cloud service usage, the introduction of individual systems by business division, M&A, etc., has led to an increase in “rogue IT assets” that are not known by information systems departments, and the inability to identify the existence of publicly available assets that attackers could target has become a serious issue.
In response to this issue, the Ministry of Economy, Trade and Industry (METI) published the “ASM Implementation Guidance” in May 2023, outlining basic concepts and case studies for companies to incorporate ASM into their security strategies. The National Cyber Security Office is also implementing a cross-sectional attack surface management (ASM) project targeting each government agency, and visualization of external attack surfaces is an urgent issue shared by both the public and private sectors.
Also Read: Ubiquitous AI and Artifact Partner on Security Solutions
Based on the concept of “visualizing cyber risks,” SecureBase has developed “ShinobiScan EASM,” which combines knowledge from the cybersecurity field with the latest AI technology to solve this urgent issue and visualize external attack surfaces.
SOURCE: PRTimes


