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2026.03.18
AEWIN Has Completed 2025 Carbon Footprint Verification
As sustainability becomes a global priority, organizations are expected to better understand and manage their greenhouse gas (GHG) emissions. Carbon footprint verification helps quantify emissions, identify key sources, and support long-term reduction planning. As part of its ESG commitment, AEWIN conducts annual carbon footprint verification to ensure transparent reporting and responsible environmental management.
2026.03.04
Scalable Storage Infrastructure for AI-Driven Data Management
As data grows exponentially and AI adoption accelerates across enterprise, cloud, and edge environments, massive datasets must be processed, moved, and retained efficiently. Training, inference, and real-time analytics require storage infrastructure that delivers performance consistency, excellent efficiency, and scalability. To support AI-driven data management, storage servers must be architected not only for capacity expansion, but for throughput stability, system resilience, and overall reliability across dynamic data environments.
2026.02.11
How Generative AI Is Reshaping Cybersecurity: From Intelligent Threats to AI-Driven Defense
Generative AI is rapidly redefining the cybersecurity landscape. As AI gains the ability to generate content, code, and behavioral logic, cyber threats are becoming more automated, scalable, and difficult to detect. For modern enterprises, cybersecurity is no longer a static defense model, but an ongoing contest between AI-driven attacks and AI-powered protection which places new demands on network security infrastructures.
2026.02.09
AI-Driven Cybersecurity Solutions from Entry-Level Edge Security to Scalable NGFW, XDR, and SIEM
As enterprises accelerate digital transformation across IT, cloud, and OT environments, the attack surface continues to expand. AI-driven cybersecurity enables adaptive protection across edge, network, and centralized analytics platforms. AEWIN delivers purpose-built hardware platforms designed to deploy these AI-powered security workloads with performance, reliability, and scalability.
2025.12.18
Agentic AI Drives Next-wave Computing Demands
Agentic AI systems are capable of sophisticated reasoning, iterative planning, and autonomous decision-making which reshape computing needs. Unlike traditional query-response models, agentic AI can decompose complex challenges into multi-step tasks, execute them autonomously, and continuously refine its strategy through feedback loops.