Streamlining content compliance: Automating media analysis with AWS Bedrock – Part 2

This article presents a complete reference implementation for automating content compliance in media using foundation models on Amazon Bedrock, extending a previous framework with specialized AI agents for rights validation, quality control, and metadata enrichment.

• Multimodal video analysis with Amazon Nova 2 Lite detects regional ratings and moderation flags across full assets in a single pass
• Specialized agents validate content against rights data, technical QC standards, and IMDb Parental Guide for enriched context
• Frame-level analysis with configurable models (Nova or Claude) produces timestamped moderation timelines for detailed compliance review
• Adaptive frame extraction adjusts sampling rates by content type (3+ FPS for fast-cut content, 1 FPS for static content)
• Integration with Mimir MAM platform embeds compliance findings directly into operator workflows with timestamp-level navigation
• Configurable RAI permissions allow models to describe sensitive content without restrictions for professional moderation use cases
• Supports long-form content through automatic segmentation while preserving narrative context across segments

The solution transforms media compliance from manual, time-consuming reviews into an intelligent, automated workflow that combines AI analysis with business rule validation, enabling compliance decisions in minutes rather than days.