GitHub Agentic Workflows Security Architecture
🔐 GitHub Agentic Workflows Security Architecture
📋 Overview
This skill provides comprehensive security architecture guidance for GitHub Agentic Workflows (GAW), covering defense-in-depth strategies, threat modeling, sandboxing, permission models, attack vectors, and security best practices. Understanding GAW security is critical for safely deploying AI agents that can read code, execute commands, and modify repositories.
What is GitHub Agentic Workflows Security?
GitHub Agentic Workflows Security is a multi-layered security architecture designed to protect against risks inherent in AI-powered automation:
- Defense-in-Depth: Multiple security layers (compile-time, runtime, output sanitization)
- Threat Modeling: STRIDE-based analysis of agentic workflow threats
- Sandboxing: Process isolation, resource limits, and containment
- Permission Models: Least privilege, role-based access control
- Attack Vector Mitigation: Protection against prompt injection, data exfiltration, privilege escalation
- Zero Trust: Never trust, always verify AI agent actions
Why is Security Architecture Critical?
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