Methods, case studies, and tooling for red teaming AI systems end to end.
AI engineering, security, and compliance topics
These topic pages connect ongoing engineering and research with the parts of AI security, governance, evaluation, and system behavior I spend the most time on.
Prompt design patterns, instruction hierarchy, and defensive prompt construction.
Prompt injection attacks, mitigations, detection, and design patterns for safer AI applications.
Controls and attack paths for browsing, tool use, memory, identity, and action-taking agents.
Safety evaluations, system cards, preparedness, and security measurement for frontier models.
Responsible AI, governance, standards, and regulatory reference material for teams mapping AI systems to policy and operational controls.
Adversarial machine learning attacks, taxonomies, and mitigations across the ML lifecycle.
Application architecture, developer workflow, tooling, and production patterns for building AI systems.