Open-source security framework for AI agents on macOS/Linux

Sanctuary Framework: Secure Your AI Agents on macOS/Linux

Sanctuary Framework is an open-source security solution designed to protect your AI agents running on macOS and Linux environments. Developed with developers in mind, it provides robust, kernel-enforced controls to prevent unauthorized data exfiltration and ensure the integrity of your AI operations. This framework addresses critical security concerns for AI agents, offering a layered approach to defense.

What it Does

Sanctuary Framework implements kernel-level egress control, meaning it intercepts and scrutinizes network traffic originating from your AI agents before it leaves your system. This prevents sensitive data, model weights, or proprietary code from being sent to unauthorized destinations. It also incorporates operator-held keys for secure authentication and authorization, ensuring that only trusted entities can interact with or control your agents. Furthermore, the framework provides tamper-evident audit logging, creating an immutable record of agent activity that can be verified for integrity.

Key Features

• Kernel-Enforced Egress Control: Prevents unauthorized data exfiltration at the operating system level.
• Operator-Held Keys: Secure authentication and authorization mechanisms managed by the operator.
• Tamper-Evident Audit Logs: Creates verifiable records of agent actions for security and compliance.
• Open-Source: Full transparency and community-driven development.
• macOS/Linux Compatibility: Designed for common developer operating systems.

Who it's For

This tool is specifically for AI developers, researchers, and security engineers who are deploying AI agents on macOS or Linux. If you are concerned about the security of your AI models, the data they process, or the integrity of their operations, Sanctuary Framework offers essential protection. It is ideal for projects involving sensitive data, proprietary algorithms, or agents that require strict access control and auditing. Developers looking to build secure, trustworthy AI systems will find this framework invaluable.