Admyral provides a platform for continuous control monitoring and Governance, Risk, and Compliance (GRC) engineering, targeting security and GRC professionals. It aims to automate evidence collection and reporting for security controls, enhancing efficiency and enabling continuous monitoring through an AI-enhanced, hybrid no-code/code approach.

How It Works

Admyral leverages Temporal for its workflow orchestration, ensuring reliable and scalable execution of GRC tasks. It supports custom AI Actions using major LLMs (OpenAI, Mistral, Anthropic) for tasks like summarizing findings or categorizing alerts. The platform offers a hybrid development model, allowing users to visualize and edit codified controls via a drag-and-drop no-code editor, with changes syncing back to the code.

Quick Start & Requirements

• Install: pip install admyral
• Run: admyral up
• Prerequisites: Python 3.12, Docker.
• Documentation: 📚 Docs · 💬 Discord · 🏎️ Quickstart

Highlighted Details

• AI Workflows: Integrates with top LLMs for automated analysis and reporting.
• Hybrid No-Code/Code Editor: Bi-directional sync between visual editor and codified controls.
• Scalable Infrastructure: Built on Temporal for reliable, out-of-the-box workflow execution.
• Automation-as-Code: Python SDK for defining and automating GRC workflows.

Maintenance & Community

• Community: 💬 Discord
• Telemetry: Collects anonymized usage data via PostHog (opt-out available).

Licensing & Compatibility

• License: Apache License 2.0. Permissive for commercial use and closed-source linking.

Limitations & Caveats

The project collects telemetry data by default, though opt-out is provided. Specific details on the breadth of supported GRC frameworks or the maturity of the no-code editor are not detailed in the README.