What we see as we build an on-premises AI governance gateway. Enforcement, not observability. Real problems, not press releases.

The OpenAI–Hugging Face incident, what both companies missed, and how to test your own agents. Includes a live agent poisoning scenario in Cortega Arena.
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Follow-up. OpenAI published memo prompts with Astra for Law. We ran them on Llama 3.3 70B and Claude Sonnet 4.5. Bare Llama: 12 of 14 cites flagged. Bare Claude: 8 of 15 on the private-label memo, 2 of 6 on the Delaware asset-sale memo.
Read more →Legal research plugins just landed in ChatGPT. That helps the model look up cases. It does not independently check the cite, or the tools the rest of the firm is already using.
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Fraud, pretexting, and policy circumvention, run live in the Cortega Arena — standard guardrails versus Cortega Policy Guardrails, same model, same prompt. Part 2 of 2.
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Enterprises run customer-facing AI on cheap, fast models for good economic reasons. Attackers face no such constraint. Why that cost asymmetry is the real guardrails problem — Part 1 of 2.
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A new “best model yet” ships every few months, and the evaluation never quite finishes. Why Fear of Better Options is driving teams to either re-benchmark on gut feel or quietly drift.
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A “resistance is futile” school marquee turns out to be an accurate description of enterprise AI adoption. Three hard lessons on agent governance, from a billboard outside an elementary school.
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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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A personal AI agent misclassified a folder of financial documents, and reconstructing why turned into a real investigation — the same question a regulator asks an enterprise agent after the fact.
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Chief-of-Staff agent prompts are the most popular prompt search right now. Plugged into a company database or ticket queue, they are also unmonitored data conduits primed to leak enterprise data.
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Dynamic model routing can cut your AI bill 40%. It can also make debugging, compliance, and cost attribution far harder — unless you trace which model made which call, the whole way through.
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An automated resume screener learned that the two best predictors of a good hire were being named Jared and having played high-school lacrosse. Why a compliance PDF was never going to catch that.
Read more →Foundation is free — one gateway, standard guardrails, no time limit.
See what enforcement at the gateway looks like on your own traffic.