Blog

Field notes from
the governance front lines.

What we're seeing as we build an on-premises AI governance gateway — enforcement, not observability, told through real problems, not press releases.

· Sridhar Ramachandran · August 2026

The Rockstar Prompt Is a Trojan Horse

A "5 prompts to impress your boss" download hid a prompt injection payload. Why having one LLM police another LLM's inputs fails, and what a deterministic gateway catches instead.

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· Sridhar Ramachandran · July 2026

Trust Is Not a Logging Strategy

My personal AI agent misclassified a folder of financial documents, and reconstructing why turned into a real investigation. That's the same question a regulator asks an enterprise agent after the fact — and a billing log won't answer it.

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· Sridhar Ramachandran · July 2026

Everyone Wants a Jarvis

Chief of Staff agent prompts are the most popular prompt search right now. Plugged into a company database or ticketing queue, they're also unmonitored data conduits primed for leaking enterprise data.

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· Sridhar Ramachandran · August 2026

Phantom FinOps: The Hidden Cost of Cheaper Tokens

Dynamic model routing can cut your AI bill 40%. It can also make debugging, compliance, and cost attribution far harder — unless you're tracing which model made which call, the whole way through.

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· Sridhar Ramachandran · August 2026

The Jared Problem: Why AI Governance Can't Be a Policy Document

An automated resume screener learned that the two best predictors of a good hire were being named Jared and having played high school lacrosse. Here's why a compliance PDF was never going to catch that.

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