Details and Registration Here ■ The Reality of AI Accelerating Vulnerability Discovery and Target Identification In recent years, with the evolution of generative AI and AI agents, the discovery and investigation of vulnerabilities have been occurring at an unprecedented speed. However, what should truly be guarded against is not "AI discovering vulnerabilities" itself. The issue lies in identifying where attackers will target as entry points, based on discovered vulnerabilities and publicly available information. The scope of potential attack targets continues to expand, including corporate public websites, VPNs, cloud services, and the public environments of subsidiaries and affiliates. Furthermore, attackers are efficiently searching for easy targets by combining various pieces of publicly available information. As AI makes it easier to discover attack targets, companies are now required to have a perspective to understand "what will be targeted" more than ever before. ■ The Challenge of Not Being Able to Prioritize Protection Despite Recognizing Risks On the other hand, many companies are already progressing with asset management and vulnerability countermeasures. However, it is not uncommon for companies to face challenges such as: - Understanding risk information but not knowing what to prioritize. - Being overwhelmed by the sheer volume of discovered risk information and unable to assign priorities. - Being unable to determine if the targets actually being pursued by attackers align with the targets the company is defending. - Being unable to decide where to focus efforts within limited personnel and budget. As a result, a situation arises where countermeasures are spread thinly across a wide range, without a clear understanding of what should be prioritized for protection. What is needed now is not simply discovering risks, but "creating a state where one can determine what should be prioritized for protection." ■ Practical Approach to Perceiving Risks from