8 articles that week
Techstrong.ai, Friday, January 23rd, 2026
The Model Context Protocol (MCP) addresses a long-standing issue in AI systems. For years, AI assistants lacked the ability to use live data or operate within external systems. MCP was made open-source in late 2024. It now serves as a key standard that has increased the accessibility of AI agents within the industry.
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Techstrong.ai, Friday, January 23rd, 2026
With AI shifting from experimental projects to mission-critical production systems, organizations face many challenges in operationalizing ML at scale. Model training and experimentation have converged - the stages with the most obstacles and pain have been removed, thanks to accessible frameworks and cloud-based infrastructure.
more → Techstrong.ai, Thursday, January 22nd, 2026
Is your organization fully prepared to handle the intricate demands of AI-driven systems? Non-Human Identities (NHIs) play a crucial role in securing AI architectures. By effectively managing these machine identities, organizations can bridge significant security gaps and foster a seamless, secure cloud environment.
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Techstrong.ai, Thursday, January 22nd, 2026
It has been just over three years since ChatGPT was first released, and large language models (LLMs) captured the world's attention. The idea of an all-knowing computer that operates in natural language holds the promise of changing how we live and how businesses operate. Unsurprisingly, like HAL 9000 in 2001: A Space Odyssey, LLMs have produced results that aren't always what we wanted.
more → Techstrong.ai, Wednesday, January 21st, 2026
Nowadays, generative AI (GenAI) is no longer viewed as a revolutionary idea in research but as one of the business-essential features driving intelligent automation, content generation, hyper-personalized experiences and real-time decision-making.
more → Techstrong.ai, Wednesday, January 21st, 2026
AI-led development has moved from experimentation to standard practice across modern software teams. GitHub reports that 92% of developers now use AI coding tools, with AI-generated code contributing to 40% or more of new code in many organizations. While productivity gains are substantial - studies show 25-35% faster task completion - AI introduces governance and audit questions that traditional AppSec programs were never designed to answer.
more → Techstrong.ai, Wednesday, January 21st, 2026
Even if you're still accidentally writing '2025' on important documents... AI has already moved on without you. Not in a sci-fi, you-no-longer-exist kind of way. In a very boring, very operational, very 'wait-that tool has AI now?' way. And that's a problem.
more → Security Boulevard, Tuesday, January 20th, 2026
Sovereign AI has moved from a niche policy topic to a central theme in national and enterprise technology strategies. At its core, sovereign AI is the idea that countries, regions, and regulated industries should be able to develop and run artificial intelligence on infrastructure, data, and models that they control. The goal is to protect sensitive information, comply with local regulation, and avoid over dependence on a few global cloud platforms.
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