AWS Launches IAM Policy Autopilot Tool

AWS launches IAM Policy Autopilot, which assists developers in creating accurate IAM policies with code analysis and AI integrations.

AWS has introduced IAM Policy Autopilot, which is an open-source Model Context Protocol (MCP) server that is intended to help developers to generate accurate identity-based IAM policies directly from application code. The tool integrates with AI coding assistants like Kiro, Claude Code, Cursor, and Cline and gives them the ability to have deep knowledge in IAM as well as updated knowledge about AWS services.

The AWS developer will try to give wide permissions at the start and then refine them later, but AI assistants can overlook important actions or suggest invalid permissions. IAM Policy Autopilot solves this by analyzing SDK calls, mapping them to the corresponding IAM actions, and generating policy documents that developers can then review and enhance for least-privilege access.

The tool runs locally and supports three programming languages: Python, TypeScript and Go and can be used either via an MCP server or through a standalone CLI. When Access Denied errors happen, the AI assistant can call the IAM Policy Autopilot to investigate the problem and recommend their fixes on a policy level.

IAM Policy Autopilot integrates seamlessly with AWS services such as AWS S3, AWS Lambda, DynamoDB, EC2 and AWS CloudWatch Logs, which enables developers to inject generated policies into their CloudFormation, CDK, or Terraform templates.

The option complements existing AWS security offerings like IAM Access Analyzer by giving developers performative beginning policies that can be validated and evolved over a span of time. IAM Policy Autopilot represents a significant step to make secure development workflows easy and IAM less complicated for teams of all levels of experience.