Guides, articles, and trusted references to help you learn AI, understand its risks, and build practical skills. Original CNSLT resources are designed to help you test systems and document evidence.
A practical review template for prompt injection, RAG, sensitive-data exposure, tool permissions, evaluation, monitoring, and retesting. Unlock it free with your email.
GET THE FREE CHECKLIST ↗Follow the planned path from LLM fundamentals and application building to security testing, mitigation, and AI governance.
EXPLORE THE LEARNING PATH ↗Read the project introduction and follow experiments, decisions, and lessons from building secure and trustworthy AI.
READ THE JOURNAL ↗Use the OWASP project as a reference for understanding risks affecting generative AI applications and LLM systems.
VISIT OWASP ↗Explore the NIST framework for incorporating trustworthiness considerations into AI design, development, use, and evaluation.
READ THE FRAMEWORK ↗Resources should help you do something. Original CNSLT templates should be used with clear scope, evidence, and honest notes about limitations.