All news with #anthropic tag

Cloudflare CASB API Scanning for ChatGPT, Claude, Gemini

🔒 Cloudflare One users can now connect OpenAI's ChatGPT, Anthropic's Claude, and Google's Gemini to Cloudflare's API CASB to scan GenAI tenants for misconfigurations, DLP matches, data exposure, and compliance risks without installing endpoint agents. The API CASB provides out-of-band posture and DLP analysis, while Cloudflare Gateway delivers inline prompt controls and Shadow AI identification. Integrations are available in the dashboard or through your account manager.

Cloudflare Launches AI Avenue: A Hands-On Miniseries

🤖 Cloudflare introduces AI Avenue, a six-episode miniseries and developer resource designed to demystify AI through hands-on demos, interviews, and real-world examples. Hosted by Craig alongside Yorick, a robot hand, the series increments Yorick’s capabilities—voice, vision, reasoning, learning, physical action, and speculative sensing—to show how AI develops and interacts with people. Each episode is paired with developer tutorials so both technical and non-technical audiences can experiment with the same tools featured on the show. Cloudflare also partnered with industry teams like Anthropic, ElevenLabs, and Roboflow to highlight practical, safe, and accessible applications.

Count Tokens API Adds Claude Model Support in Bedrock

🧮 The Count Tokens API is now available in Amazon Bedrock, enabling users to determine token counts for a prompt or input prior to performing inference. Anthropic’s Claude models are supported at launch and the feature is available in all regions where those models run. This improves cost projection, gives more control over token limits, and reduces the risk of unexpected throttling. It also helps ensure inputs fit within a model's context length for more efficient prompt optimization.

Bedrock Batch Inference: Claude Sonnet 4 and GPT-OSS

🚀 Amazon Bedrock now supports Batch inference for Anthropic Claude Sonnet 4 and OpenAI GPT-OSS (120B, 20B), enabling asynchronous processing of large workloads at approximately 50% of on-demand inference cost. The update targets bulk scenarios such as document analysis, large-scale summarization, content generation, and structured data extraction, and is optimized to deliver higher overall batch throughput on these newer models. Batch progress and workload metrics — including pending and processed records, tokens per minute, and Claude-specific pending tokens — are exposed at the AWS account level via Amazon CloudWatch.