Impart Platform is a runtime application protection solution that blocks attacks in production environments through code-based security policies. The platform enables security engineers to create, test, and deploy runtime protection rules using AssemblyScript, with integrated AI assistance for policy authoring and refinement. The platform analyzes application traffic to recommend security policies, then guides users through an AI-assisted workflow to generate, edit, and test rules before deployment. Rules undergo automated unit testing and regression testing against recorded traffic to detect false positives before production deployment. The system implements canary validation and human review gates to prevent unsafe policy enforcement. Impart deploys an agent built on Go and WASM that inspects live requests and enforces policies at runtime across multi-cloud environments. The platform includes dynamic logging and sampling capabilities to reduce alert volume and optimize cloud costs. It provides a comprehensive library of rule templates and pre-built applications for common security scenarios. The solution integrates with existing security and engineering workflows, utilizing monitoring systems and CI pipelines. All policy changes are versioned and recorded in an audit trail. The platform supports deployment across the full application attack surface without requiring platform changes. AI workflows include an MCP server and chat interface for policy development. The system sanitizes and filters AI inputs and outputs, with automated testing and validation before any policy reaches production.