Add shimmy - Privacy-focused AI inference server

[Michael-A-Kuykendall]

Adds shimmy to the Privacy & Security section.

Project Details:

• Repository: https://github.com/Michael-A-Kuykendall/shimmy
• Stars: 2,918 ⭐
• Language: Rust
• Category: Privacy & Security

Why Shimmy enhances awesome-security:

Privacy & Data Sovereignty:

• Self-Hosted AI: Complete on-premises deployment eliminates cloud data sharing
• Zero Data Exfiltration: No external API calls or telemetry - all processing local
• GDPR/CCPA Compliance: Keep sensitive data within organizational boundaries
• Air-Gapped Compatible: Can operate without internet connectivity
• Private Model Serving: Deploy proprietary or fine-tuned models securely

Security Architecture:

• Memory-Safe Rust: Eliminates entire classes of security vulnerabilities
• Minimal Attack Surface: Single binary with no external runtime dependencies
• No Python Dependencies: Avoids complex dependency chains and supply chain risks
• Container Security: Minimal container images reduce vulnerability exposure
• Secure Defaults: No debug endpoints or verbose logging in production mode

Enterprise Security Benefits:

• Data Residency: Maintain compliance with data localization requirements
• Network Isolation: Deploy in secure VPCs or air-gapped environments
• Audit Trail: All AI interactions remain within controlled infrastructure
• Risk Reduction: Eliminate dependency on external AI service providers
• Cost Containment: No per-token charges that could enable denial-of-wallet attacks

Security Use Cases:

• Confidential Document Analysis: Process sensitive documents without cloud exposure
• Internal Code Review: AI assistance for security code analysis without sharing proprietary code
• Secure Customer Support: AI chatbots handling sensitive customer data
• Compliance Workflows: AI assistance for regulatory and audit processes
• Threat Intelligence: AI analysis of security data without external sharing

Positioning in Security Ecosystem: Shimmy addresses the growing security concern around AI data privacy. While tools like Qubes, Whonix, and Tails protect general computing privacy, Shimmy specifically secures AI workloads by enabling organizations to deploy powerful language models without sacrificing data sovereignty.

This addition fills a critical gap in the security toolkit by providing privacy-preserving AI capabilities for organizations that cannot or will not send sensitive data to external AI services.