AI Spera Showcases AI-Powered Security Operations Automation in Singapore
IT DAILY ·
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AI Spera participated in GovWare 2026 in Singapore and presented a case study on security operations automation using AITEM as well as next-generation ASM.
CEO Kang Byung-tak introduced AI's role in the process of investigating vulnerability impact and linking it to measures after discovering externally exposed assets.
AI Spera also operated a standalone booth during the event and showcased Criminal IP and AITEM.
AI Spera participated in GovWare 2026, held in Singapore, and presented a case study on security operations automation using its AI-powered threat exposure management platform, AITEM, as well as next-generation attack surface management (ASM). The photo was provided by AI Spera.
GovWare is one of Asia's leading cybersecurity events. This year's GovWare runs from the 13th to the 15th of this month at Sands Expo and Convention Centre in Singapore.
On the 13th, Kang Byung-tak, CEO of AI Spera, took the stage on the first day of GovWare 2026 in Singapore for an official conference presentation. The topic was, "From Gaining Visibility to Threat Hunting: A Case Study of AI-Based Attack Surface Management."
Kang introduced the role AI plays in the process of identifying externally exposed assets, assessing the impact of vulnerabilities, and linking that work to necessary measures. Through this, AI Spera explained next-generation ASM, centered on a case study of security operations automation using AITEM.
Kang noted that although ASM provides asset inventories and vulnerability information, investigation for actual response and cross-department verification remain the responsibility of personnel. He also said that, as attack speeds accelerate with AI, the ability to connect discovered information to business context is important for response. He explained that the purpose of this business-context linkage is to connect it to swift action.
Kang presented three pillars for reducing the burden on security operations: Agentic AI, AI SOC, and AI Exposure Validation. He also cited natural-language-based work requests, investigation of asset-related information, and impact checks for newly discovered vulnerabilities as the scope of AITEM's use. He said AITEM is a way to connect multiple processes.
Kang said AI can handle repetitive tasks. However, he explained that understanding context, deciding whether to accept risk, and setting final response priorities are roles for people. Accordingly, he said an operating structure is needed in which AI supports asset investigation and information verification, while security staff focus on threat hunting and response decisions.
Kang said security teams need information to quickly identify organizational impact risk and the targets for action. He then explained that AITEM helps reduce repetitive investigation and verification tasks, and supports security personnel in focusing on judgment and response based on organizational context.
AI Spera operated a standalone booth during the event. At the venue, it showcased the cyber threat intelligence platform Criminal IP and AITEM.
Source: IT DAILY · Kim Ho-jun
Original: https://www.itdaily.kr/news/articleView.html?idxno=242178
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Source: IT DAILY
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