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AI & Enterprise

AI-driven security automation to find and fix flaws is already reality, Microsoft executive says

Tae-soo Kim (김태수), vice president for agentic security at Microsoft headquarters, said AI-driven security automation to find and fix bugs is already usable now and that combining multiple AI models can improve results. Speaking at Codegate 2026 in Seoul, he said distinguishing what AI should handle versus what humans should judge is key. He described a multi-agent approach used in DARPA’s AI Cyber Challenge and Microsoft’s MDASH project.

AI & Enterprise

Crowdworks wins government AI Hub data building project

Crowdworks said on Monday it has won a contract to build “complex document-based knowledge inference data” under the Science and ICT Ministry-led 2026 AI Hub training data (inference) programme run by the National Information Society Agency. It will carry out the work as a consortium led by Crowdworks with Wart Intelligence and Zendive participating. The consortium plans to produce more than 10,000 cases of inference training data from multimodal public documents.

AI & Enterprise

AI agents can use up to 136.5 times more energy than conventional AI, KAIST study finds

KAIST said a research team led by Yoo Min-soo (유민수) systematically analysed, for the first time, the compute resources and power consumption used by AI agents in real service environments. The team defined AI agents as a new form of workload that data centre servers and GPUs must process continuously. It found AI agents repeatedly call large language models, increasing computation and response time. A 70 billion-parameter agent consumed 348.41Wh per query, 136.5 times more than simple generative AI Q&A.