Category: Amazon Bedrock Guardrails

F1 worked with AWS to migrate petabytes of footage from ageing tape robots, in multiple formats and proxy files, into Amazon Simple Storage Service (Amazon S3) alongside the live footage from every new race. That gave the sport one durable home for its heritage: the F1 Video Archive. In April 2026, F1 upgraded the archive with a new Media Archive Discovery system. Working with Amazon Web Services (AWS), the team added Amazon Bedrock in a deliberately narrow role: a layer that reads a request in plain language, works out what it means, looks up any facts it depends on, and turns it into a precise search the archive can retrieve.

In this post, we show how to build SENTINEL, an Amazon Web Services (AWS) pipeline that embeds a cryptographic provenance watermark into AI-generated audio at the point of synthesis and carries a verifiable chain of custody through a live-streaming media pipeline. This post covers the architecture, AWS service implementation, deployment approach, and engineering trade-offs we encountered while building SENTINEL.

In the ever-competitive market of news publishing, editorial efficiency has become key to gaining an advantage. Generative AI has emerged as a powerful tool, allowing editors and writers to offload repetitive tasks so they can concentrate on keeping readers better informed. However, adoption of this technology in newsrooms has been cautious, as publishers rightfully prioritize […]