A practical starting point for experimenting with AI systems. These are selected learning tools and references, not products built or endorsed by CNSLT. Use security testing tools only on systems you own or are authorized to assess.
The flagship learning project for building an AI application, testing its failure modes, applying controls, and documenting retest evidence. Course content is in development.
AI application security · Red teaming · Governance
VIEW PROJECT ↗Inspect how text is split into tokens and compare how different strings are represented. Useful for learning about token limits and text-processing edge cases.
Tokens · Text encoding · LLM fundamentals
OPEN TOKENIZER ↗Explore an open-source framework for testing prompts and evaluating LLM application behaviour with repeatable test cases.
Evaluation · Red teaming · Regression tests
EXPLORE PROMPTFOO ↗Use the OWASP project to study common risks and security considerations for generative AI applications and LLM-based systems.
Threat modeling · Risk identification · Mitigations
OPEN OWASP PROJECT ↗External tools may change their features, terms, or availability. Review each provider's documentation and data-handling terms before using it with sensitive information.