AHNLAB,INC. Participates in Singapore’s ‘GovWare 2026’… Showcases a Wide Range of AI-Native Security Technologies
Showcasing AI SOC, CPS Security, and Threat Intelligence (TI) Capabilities Centered on ‘AHNLAB,INC. AI Plus’
Unveils Concepts of ‘AI SOC’ and ‘Controlled Autonomy’
“Localized Strategies Bear Fruit… We Will Continue to Achieve Success in Our Global Business”
[Edaily Reporter Yun Junghoon ]AHNLAB,INC.(053800)has accelerated its push into the global market by actively showcasing its latest AI-native security operations capabilities in Singapore, a key Asian security market.
(Photo courtesy of AHNLAB,INC.)
AHNLAB,INC. announced on the 18th that it participated in “GovWare 2026,” a global security conference held at the Sands Expo and Convention Center in Singapore from the 13th to the 15th. GovWare is a major side event of “Singapore International Cyber Week,” organized by the Singapore Cybersecurity Agency.
Recently, there has been a surge in demand for AI-based security solutions to protect business infrastructure across the Asia-Pacific (APAC) region, particularly in Singapore, a major financial and technology hub. Accordingly, AHNLAB,INC. organized its exhibition at this event by mobilizing its full range of core technological capabilities—led by its integrated brand “AhnLab AI PLUS”—including △AI SOC, △IT-OT converged Cyber-Physical Systems (CPS) security, and △Threat Intelligence (TI).
According to AHNLAB,INC., approximately 500 security professionals from organizations and companies across the Asia-Pacific region—including Singapore, Malaysia, Taiwan, India, and the Philippines—visited the AHNLAB,INC. booth during the event. Visitors showed keen interest in AHNLAB,INC.’s AI-native security operations environment, where AI independently recognizes, analyzes, and infers security situations to support response efforts.
In particular, the solution that drew the most attention was “AI SOC.” The security operations approach based on Agentic AI—where multiple AI agents collaborate to filter key security alerts and support threat context analysis, report generation, and response decision-making—received high praise.
This approach significantly reduces the burden of repetitive tasks on security personnel while establishing a rapid and consistent response system. Furthermore, the concept of “Controlled Autonomy”—which expands AI autonomy while precisely controlling operations through a framework of permissions, policies, audits, and approvals—also drew significant attention.
As threats targeting OT environments—such as manufacturing and industrial sites—increase, “AHNLAB,INC. CPS,” an integrated security system spanning both IT and OT, and “AHNLAB TIP,” a threat intelligence platform that facilitates preemptive responses based on threat analysis information tailored to the Asia-Pacific region, also drew the attention of local buyers.
A technical presentation was also held. On the 14th, the second day of the event, Lee Jeong-wook, Manager at AHNLAB,INC. Security Intelligence Center (ASEC), appeared as an officially invited speaker to share the latest threat cases in the Asia-Pacific region and highlight AHNLAB,INC.’s expertise in intelligence analysis.
Lee Sang-guk, Head of AHNLAB,INC.’s Marketing & Global Business Division, stated, “Our strategy, which reflects the characteristics and demands of the local market—such as securing customer references in the fields of endpoint security and threat intelligence in Singapore—is yielding tangible results.” He added, “Building on the high level of interest in AI SOC demonstrated at this year’s GovWare, we will apply AHNLAB,INC.’s AI-native security capabilities to global customer environments and translate them into business results.”
Meanwhile, “AhnLab AI Plus,” AHNLAB,INC.’s integrated AI strategy brand, is a platform and architectural concept that connects security data—which is typically scattered across different products and domains—into a single contextual framework, and enables multiple AI agents to collaborate to automate and enhance the entire security operations process.
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