AI Governance
AI & LLM Application Security
Simple
AI Governance is a building block of "AI & LLM Application Security". In plain terms: llm apps, prompt injection, rag, vector dbs, owasp llm top 10, ai governance. This topic focuses specifically on ai governance and the core ideas you need to understand it.
Technical
Technically, AI Governance involves the mechanisms, data structures and protocols that underpin ai & llm application security. You will study how it is implemented, how it is configured, how it fails, and how its behavior shows up in logs, traffic or code.
Why it matters
AI features introduce new abuse surfaces and data leakage paths.
Example
In a real organization, professionals working in ai security engineer, appsec, platform teams. rely on ai governance to make decisions — for example, explaining an alert, hardening a system, or writing a finding in a report.
Practice idea
Build a small lab in a VM and experiment with ai governance using the related tools below. Document what you observe.
Deep dive
Read the official documentation and relevant RFCs/standards for AI Governance. Explore edge cases, internals, and how attackers and defenders view it differently.