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AI & Enterprise

Observability fragmentation deepens as eG Innovations pushes single-platform approach

eG Innovations said growing use of IT monitoring tools has not solved operational problems as hybrid on-premise and cloud environments become more complex. Srihari Avar (스리하리 아바르) cited three issues: alarm overload, proliferation of monitoring tools and wasted manpower. The company said its EG Enterprise single platform monitors everything from user experience to infrastructure and supports automated root-cause analysis, domain-specific agents and expanding AI features.

AI & Enterprise

Policy-based autonomous patching is the answer in Mythos-era security

Tanium Korea said companies need a fundamental shift in patch management as AI automates the full cyberattack chain and sharply shortens the time from vulnerability disclosure to large-scale attacks. Executives said existing patch processes are too slow and that simply increasing speed can raise risks. They proposed policy-led automation and introduced Autonomous Patch Management, which assesses risk in real time, executes patches based on predefined policies and verifies removal of threats. The company also outlined AI-focused security products and an autonomous operations agent.

AI & Enterprise

WhaTap Labs expands observability platform with integrated GPU, LLM and AI operations strategy

South Korean observability firm WhaTap Labs on Monday held an \"LLM Observability Media Day\" and announced an integrated strategy covering GPU, LLM and AI operations. The company unveiled a full-stack roadmap linking GPU monitoring, LLM observability and AI-based autonomous operations. After declaring an \"AI-native observability\" vision last year and launching GPU monitoring, it formally released LLM observability functions at the event.