Case Studies

Why GPT-6 Astra’s safety evidence needs a control-oriented reading OpenAI’s safety materials for GPT-6 Astra make two claims that have to be read together rather than separately: the company classifies Astra at the Critical cybersecurity capability level under its Preparedness Framework, and it also reports several safety improvements in monitored…

Why Anthropic Built Enterprise Frontier Safeguards for Regulated AI Use Anthropic describes Enterprise Frontier Safeguards, or EFS, as a phased enterprise safety architecture for organizations that want to use frontier Claude models without handing long-lived operational logs to the model provider. The enterprise problem is specific: regulated customers often need…

Start with the trust boundary: a ChatGPT Site is not just a document ChatGPT Sites changes the security review problem because the output is an interactive hosted website or lightweight application, not only a static draft that someone proofreads before sending. OpenAI documents Sites as a public-beta feature for creating,…

Prompt caching is now a first-order design problem for GPT-6 Astra GPT-6 Astra changes the economics of long-context application design because OpenAI documents a 1,050,000-token context window for the model, with up to 922,000 input tokens and up to 128,000 output tokens. That capacity is useful for enterprise knowledge packs,…

What shipped in Codex CLI 0.153.0 on September 3 OpenAI’s September 3 Codex changelog identifies Codex CLI 0.153.0 as a release focused on terminal ergonomics, plugin distribution, reconnect safety, approval history, and MCP control behavior. This is not a cosmetic update: it changes how operators recover from disconnected app-server sessions,…

What changed in Temporary Chat personalization OpenAI’s August 27 Temporary Chat controls changed the decision users make at the start of a temporary conversation: a Temporary Chat can remain non-personalized by default, or it can optionally use existing personalization sources such as memory, plugins, and custom instructions. The important operational…

What changed on August 29, 2026, and why enterprise API teams should care On August 29, 2026, OpenAI marked mutual TLS and X.509 workload identity federation generally available for the OpenAI API. The release notes state that organizations can configure certificates and X.509 identity providers in the Platform console and…

OpenAI Secure MCP Tunnel: Architecture, Authentication Boundaries, and When to Use It OpenAI’s Secure MCP Tunnel is designed to make a locally running Model Context Protocol (MCP) server available to OpenAI-hosted products and workflows without exposing that server directly to the public internet. Rather than requiring an inbound port, public…

Nvidia Backs OpenAI Ohio Data Center with $105 Billion: Complete Guide to the Largest AI Infrastructure Investment in History On August 20, 2026, the artificial intelligence industry crossed a threshold that few analysts had predicted would arrive this soon. Nvidia confirmed a landmark $105 billion commitment to support OpenAI’s flagship…

AI-Generated Code Is Creating a New Software Bottleneck: Complete Guide to Validation, Testing, and Quality Assurance for AI-Assisted Development The promise was irresistible: AI coding assistants would make software teams dramatically more productive. And in one narrow sense, they delivered. Code is being produced at a pace that would have…