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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Willow (formerly Webrix) emerged from stealth mode with an access platform designed to secure enterprise AI agents. The post Willow Raises $7 Million for Securing Autonomous AI Agents appeared first on SecurityWeek.
Organizations are growing serious about what nation’s rules apply to their data. Experts point to geopolitical tensions as a main contributing factor.
Taiwan Semiconductor Manufacturing Co. - the world's biggest semiconductor-maker - is struggling to meet demands from American customers even with its factory buildout in the US, according to reports from Reuters and Bloomberg. "Customer demand is so high, and we can only support so much," TSMC CEO C.C. Wei said after a shareholder meeting on Thursday, Reuters reports. "We are doing our best to ensure TSMC does not become a bottleneck." The surge in AI use has already put constraints on the memo
Hyperscalers have come under scrutiny for their impact on water quality and availability.
Comments
Threat actors are actively teaching newcomers how to find, exploit, and profit from vulnerable systems. Flare explores what a popular underground hacking tutorial reveals about modern attacker workflows. [...]
It got stupid again. The internet still feels held together with tape. Bad plugins, old bugs, fake tools, trusted apps doing shady things. Same mess, new wrapper. And now the weird stuff is normal. Forums go down and come back worse. Cheap hackers get better toys. AI starts breaking real systems. Great. Read the whole thing before it ruins your week anyway. Unauthenticated
Real-time AI inference has become a fundamental feature of modern applications and has been used to drive applications in conversational agents, recommendation engines, fraud detection, and computer vision pipelines. In contrast to batch workloads, real-time inference requires stable, low-latency, predictable scaling, and resource efficiency. With the increase in the size or the number of computations performed by models, it becomes more complicated to provide these experiences at a reliable le
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