AWS ai medium security documentation change
Summary
Updated service card date and added Content Credentials documentation for AI-generated video provenance
Security assessment
The addition of Content Credentials based on C2PA standards directly addresses content authenticity and provenance - a security-related feature to combat misinformation. This implements technical controls for verifying AI-generated content sources.
Diff
diff --git a/ai/responsible-ai/nova-reel/overview.md b/ai/responsible-ai/nova-reel/overview.md index ee859c7de..60eb63cea 100644 --- a//ai/responsible-ai/nova-reel/overview.md +++ b//ai/responsible-ai/nova-reel/overview.md @@ -15 +15 @@ An AWS AI Service Card explains the use cases for which the service is intended, -This Service Card applies to the release of Amazon Nova Reel that is current as of April 7, 2025. +This Service Card applies to the release of Amazon Nova Reel that is current as of July 16, 2025. @@ -58 +58 @@ In Multi-shot Automated mode, customers have the ability to create a video asset -In Multi-shot Manual mode, customers have the opportunity to provide a text prompt and optional input image for each shot within the long video, allowing granular controllability which is essential for precise storytelling and creative direction. The workflow is the customer 1/ provides a series of text prompts, one for each shot, and 2/ provides images to be used as the starting frames for one or more of those shots (optional). The output will be a long video comprising multiple shots that reflect the text prompts and images provided for each shot, delivered as 1/ single stitched video, and 2/ individual 6 second shots stored separately in the customer’s storage location. Shots are fixed at 6 seconds. If the input or resulting video violates [our core dimensions of Responsible AI,](https://aws.amazon.com/ai/responsible-ai/) the model will not generate the video Output videos will contain any images provided as input by the user, depictions of the details mentioned in the prompt, as well as other components that the model fills in. Input variations include all the normal variations in English expression across different individuals, differences in the definition of design concepts/jargon, inaccuracies, misspellings, and undefined abbreviations. The error types, ranked in order of estimated negative impact on stakeholders, include a/ harmful or otherwise inappropriate content, and b/ misrepresenting the input product. +In Multi-shot Manual mode, customers have the opportunity to provide a text prompt and optional input image for each shot within the long video, allowing granular controllability which is essential for precise storytelling and creative direction. The workflow is the customer 1/ provides a series of text prompts, one for each shot, and 2/ provides images to be used as the starting frames for one or more of those shots (optional). The output will be a long video comprising multiple shots that reflect the text prompts and images provided for each shot, delivered as 1/ single stitched video, and 2/ individual 6 second shots stored separately in the customer’s storage location. Shots are fixed at 6 seconds. If the input or resulting video violates [our core dimensions of Responsible AI,](https://aws.amazon.com/ai/responsible-ai/) the model will not generate the video. Output videos will contain any images provided as input by the user, depictions of the details mentioned in the prompt, as well as other components that the model fills in. Input variations include all the normal variations in English expression across different individuals, differences in the definition of design concepts/jargon, inaccuracies, misspellings, and undefined abbreviations. The error types, ranked in order of estimated negative impact on stakeholders, include a/ harmful or otherwise inappropriate content, and b/ misrepresenting the input product. @@ -235,0 +236,5 @@ Amazon Nova Reel provides information to customers in the following locations: t + * _Content Credentials:_ To increase transparency around AI-generated content, Amazon Nova Reel 1.1 adds Content Credentials to videos it generates. Content Credentials are based on a technical specification developed and maintained by the [Coalition for Content Provenance and Authenticity](https://c2pa.org/) (C2PA), a cross-industry standards development organization. C2PA metadata includes the model and the platform used to generate the video which allows people to identify the source/provenance of generated images. To inspect the Content Credentials, you can drag and drop videos generated using Amazon Nova Reel 1.1 into publicly available tools such as [Verify](https://contentcredentials.org/verify). + + + +