AI governance

Pillar: This post anchors the governance topic cluster. How to adopt AI tools without breaking security, compliance, or audit.

Why it matters

Enterprises need to know: what data leaves the building, who approved which model, and how to respond when something goes wrong. See NIST GenAI profile and OWASP Top 10 for LLM Apps.

Key areas

• Secure prompting: Secure prompting and Prompt injection defenses to reduce abuse and data leakage.
• Observability: LLM observability so you can audit and debug model use.
• Human approval: Human in the loop for high-impact or sensitive actions.

Related cluster posts: Secure prompting, Prompt injection defenses, LLM observability.