Tag: AI governance

Two colleagues collaborating on a laptop in office.
AI

Customization Is Now Infrastructure: Build Modular ModelOps, Not One-Off Fine-Tuning

Enterprises that treat AI customization as a project instead of core infrastructure are already losing ground. The stronger signal from the market and vendors (Microsoft Azure, Red Hat AI) is that durable advantage comes from modular, governed pipelines that let organizations embed domain knowledge and evolve models continuously, not from isolated fine-tuning experiments. Assembling modular […]

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A neon sign is lit up on the side of a building
Security

Varonis launches Atlas: shifts AI security from discovery to inline runtime protection — next test is enterprise-scale adoption

Varonis Systems has launched Varonis Atlas, an end-to-end AI security platform that combines continuous AI asset discovery, runtime protection, threat detection, and governance with the company’s data-sensitivity context. The product is pitched as more than a discovery or monitoring tool: Atlas aims to close blind spots from shadow AI through to live model interactions and […]

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AI

At The Mox, Bay Area animal-welfare advocates turned AI into practical tools, new funding channels, and governance questions — not just sentience speculation

In February 2025 at The Mox in San Francisco, animal–welfare advocates and AI researchers convened to move beyond simplistic narratives about AI either replacing human advocacy or only raising sci‑fi questions about machine minds. The meeting laid out concrete deployments, shifts in philanthropic supply, and governance gaps that could matter within years, not decades. A […]

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a man sitting at a desk in front of a computer monitor
Security

Shadow AI hiding inside approved SaaS — why browser-level, continuous detection matters more than periodic vendor reviews

Shadow AI is no longer just employees installing new AI apps: it increasingly appears as quietly enabled features inside trusted SaaS tools. Obsidian Security logged 69,749 user interactions with embedded AI in a 30‑day window, most of which would have been invisible without browser-level monitoring — a sign that periodic procurement reviews alone no longer […]

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Man talking on phone with coffee and laptop.
AI

CIOs: Agentic AI won’t scale unless you treat it as an organizational transformation

Agentic AI — autonomous, multi-step agents that act on data and interact with systems — is moving from pilots to potential enterprise infrastructure. The catch: success depends less on a marginally better model and more on governance, cross‑team operating changes, and ongoing human-agent collaboration. Microsoft’s five‑level adoption maturity model and MIT Sloan research both point […]

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Men observe automated conveyor belt system in warehouse
AI

Physical AI isn’t just “automation + ML”: modular pipelines are moving into production while end-to-end learning still needs more data and tougher hardware

Physical AI—robots that perceive, reason, and act—is being framed as the next step for factories. That framing is correct in intent but misleading in practice: production deployments today look nothing like simple add-ons to traditional automation, and the split between modular AI pipelines and holistic end-to-end learning models matters for who can adopt what, and […]

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