cybersecurity보안뉴스 (Boannews)· 7/19/2026, 8:06:00 AM8.0

[ISEC 2026 Preview] Nescure Unveils AI-Based Real-Time Incident Management Solution 'AUNES for Service'

Nescure, a South Korean cybersecurity firm established in 2008, has provided information security solutions to major public institutions and enterprises in application security, IT infrastructure security, and cloud security. Recently, the company has focused on expanding its proprietary solution portfolio, including real-time incident management solutions like AUNES (Onees), to enhance operational visibility and stability through advanced technologies such as service quality analysis, fault risk prediction, and video service quality monitoring. By integrating AI and LLM-based analytics, Nescure has evolved from basic monitoring to intelligent operations management, enabling predictive fault analysis, root cause identification, and remediation guidance. The AUNES solution for service environments continuously monitors potential service disruptions in real time, analyzing fault likelihood and root causes to support operators' rapid decision-making. As digital services grow more complex and interconnected infrastructures like cloud, networks, servers, and applications become more interdependent, the ability to quickly identify and proactively address fault causes has become critical. However, traditional monitoring methods often lack the capability to comprehensively diagnose service quality degradation and its impact scope. AUNES for Service collects and analyzes real-time packet flow and performance metrics across user experience, networks, servers, and applications, enabling intuitive identification of service delays, fault risks, and impact areas. It also provides integrated dashboards, server maps, real-time data, log analysis, and network segment analysis to visualize IT infrastructure operations and incident risk levels. Notably, AUNES for Service employs the eNgenRISK algorithm and AI RISK analysis to diagnose real-time incident risk levels, allowing operators to prioritize high-risk servers and key metric changes for proactive mitigation.

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