Project overview
Agentic AI Security applies a five-category framework while an LLM-based agent is being designed or coded. It checks privilege and identity boundaries, configuration and segmentation, behavior risks such as specification gaming, structural risks such as tool injection and cascading failure, and accountability gaps in monitoring. The coverage spans design through operation, but excludes infrastructure hardening, model-training security, and regulatory compliance.
Repository facts
- Primary language
- Not detected
- License
- Custom / other
- Repository updated
- May 13, 2026
- Default branch
- main
Resource types
General skill
Use cases
Security and privacyAI and agent development
Platforms
Claude Code, Codex, and more
Capabilities
Security guardrail
Audience
Developers