This is Part 3 of a 4-part series on architecting security for LLM and agentic artificial intelligence systems in the enterprise. In [Part 1](https://www.vamsitalkstech.com/llm-security/llm-security-isnt-application-security-why-enterprises-need-a-new-architectural-model-%c2%bc/), I argued that LLMs break down …
Welcome back. This is Part 2 of our series on how to actually architect security for LLMs and agentic artificial intelligence systems in the real world. If you missed Part …
This is Part 1 of a four-part series on architecting security for LLM and agentic AI systems in the enterprise. I’ll cover why the threat model here is genuinely new, …
In my recent piece on sovereign AI and the geopolitics of compute, I covered export controls, national chip programs, and the fracturing of the global AI hardware stack. That’s the …
Every GPU procurement conversation in AI infrastructure focuses on acquisition — allocation, lead times, pricing on the newest generation. Almost none of it touches the other end of the asset …
Agentic AI adoption has outpaced the legal and governance frameworks that determine who bears responsibility when an autonomous workflow makes a costly mistake. A traditional software bug has a fairly …
The single-model enterprise AI strategy — standardize on one provider, integrate deeply, move on — is quietly giving way to something more fragmented and, for most CIOs, more sensible: a …
Telecom operators sit on an asset hyperscalers have spent a decade and tens of billions of dollars trying to replicate: physical proximity to the end user. Cell towers, central offices, …