Amazon Bedrock Introduces Automated Reasoning Policy Refinement

Amazon Bedrock has introduced a new capability for automatic Automated Reasoning policy refinement, which previously involved manual diagnosis and editing. This new feature automates the diagnosis of failing tests and suggests formal-logic fixes for rule and language issues, with users retaining control to approve each change before it is applied.

Automated Reasoning checks in Bedrock use formal verification to ensure answer correctness, achieving up to 99% accuracy in unambiguous translations from natural language to formal logic. To utilize this feature, users build policies from source documents, attach test cases, and then run the refinement process.

The refinement process operates in two modes: Iterative Refinement for rule issues and Ambiguous Variable Refinement for language ambiguities. The former automates fixing logic errors in policies, while the latter clarifies variable descriptions to resolve translation ambiguities. Both modes follow a human-in-the-loop process, where proposed changes are reviewed and approved before being implemented.

The process involves exporting the current policy, starting an asynchronous workflow, polling for completion, and then retrieving proposed changes. Users can review diffs and test impacts on a dedicated review screen, ensuring control over policy updates.

This automation aims to reduce the labor and friction involved in maintaining policies in regulated domains such as HR, finance, healthcare, and manufacturing. By automating diagnosis and proposing fixes grounded in source documents and feedback, Bedrock helps teams keep policies accurate and compliant without extensive manual effort.

The feature is available through the Amazon Bedrock console and API, with workflows designed to be straightforward and iterative, allowing continuous improvement of policies with minimal manual intervention. This development supports the broader goal of trustworthy and verifiable AI deployment in sensitive industries.