WAIG Foundation
WAIG Academy Learning Platform

Secure Coding for AI

Defensive development for ML, LLM, and agent systems

Secure coding practices for AI — input validation, output encoding, secrets hygiene, sandboxing tools, and secure RAG patterns.

Engineering excellence for sovereign AI deployments.

Lessons are locked until you enroll with a verified work email and activate your WAIG Academy Learning Platform account.

Module 1: Secure coding principles for AI stacks

  • Secure coding principles for AI stacks12m

Module 2: Input validation and output sanitization for LLMs

  • Input validation and output sanitization for LLMs15m

Module 3: Secrets, PII, and prompt data handling

  • Secrets, PII, and prompt data handling18m

Module 4: Tool sandboxing and least-privilege agents

  • Tool sandboxing and least-privilege agents21m

Module 5: Secure RAG and retrieval patterns

  • Secure RAG and retrieval patterns12m

Module 6: SAST/DAST integration for AI codebases

  • SAST/DAST integration for AI codebases15m