Agentic AI Security Starter Kit: Where Autonomous Systems Fail and How to Defend Against It

This document introduces the Agentic AI Security Starter Kit—an MIT-licensed collection of eight modules (input validation, execution hooks, policy engine, sandboxing, audit, drift detection, deployment, and agent constraints) that provide runnable code, configurations, and guidance to surface and manage early security risks in autonomous agents; it targets engineering/platform and security teams as well as technical leaders, offering practical controls such as OPA/Rego policies, Docker/Firejail/Bubblewrap sandboxes, JSONL/SQLite auditing with credential redaction, and deployment safeguards to improve access control, observability, and operational accountability.