Inside This Issue
The Threat Room
The Reprompt Attack on Microsoft Copilot
A user clicks a Copilot link, watches it load, and closes the tab. The session keeps running. The data keeps flowing. Reprompt demonstrated what happens when AI assistants inherit user permissions, persist sessions silently, and cannot distinguish instructions from attacks. The vulnerability was patched. The architectural pattern that enabled it, ambient authority without session boundaries, still exists elsewhere.
Operation Bizarre Bazaar: The Resale Market for Stolen AI Access
Operation Bizarre Bazaar is not a single exploit. It is a supply chain: discover exposed LLM endpoints, validate access within hours, resell through a marketplace. A misconfigured test environment becomes a product listing within days. For organizations running internet-reachable LLM or MCP services, the window between exposure and exploitation is now measured in hours.
The Operations Room
Why Your LLM Traffic Needs a Control Room
Most teams don’t plan for an LLM gateway until something breaks: a surprise invoice, a provider outage with no fallback, a prompt change that triples token consumption overnight. This article explains what these gateways actually do on the inference hot path, where the operational tradeoffs hide, and what questions to ask before your next production incident answers them for you.
Retrieval Is the New Control Plane
RAG is no longer a chatbot feature. It is production infrastructure, and the retrieval layer is where precision, access, and trust are won or lost. This piece breaks down what happens when you treat retrieval as a control plane: evaluation gates, access enforcement at query time, and the failure modes that stay invisible until an audit finds them.
The Engineering Room
Every Token Has a Price: Why LLM Cost Telemetry Is Now Production Infrastructure
Usage triples. So does the bill. But no one can explain why. This is the observability gap that LLM cost telemetry solves: the gateway pattern, token-level attribution, and the instrumentation that turns opaque spend into actionable data.
Demo-Ready Is Not Production-Ready
A prompt fix ships. Tests pass. Two weeks later, production breaks. The culprit was not the model. This piece unpacks the evaluation stacks now gating enterprise GenAI releases: what each layer catches, what falls through, and why most teams still lack visibility into what’s actually being deployed.
The Governance Room
The AI You Didn’t Approve Is Already Inside
Ask a compliance team how AI is used across their organization. Then check the network logs. The gap between those two answers is where regulatory risk now lives, and EU AI Act enforcement is about to make that gap harder to explain away.
AI Compliance Is Becoming a Live System
How long would it take you to show a regulator, today, how you monitor AI behavior in production? If the honest answer is “give us a few weeks,” you’re already behind. This piece breaks down how governance is shifting from scheduled reviews to always-on infrastructure, and offers three questions to pressure-test your current posture.