Security Frameworks
Systematic methodologies for AI security, prompt engineering, and social engineering assessment.
AATMF
Adversarial AI Threat Modeling Framework
Comprehensive AI threat modeling framework with 14 tactics, 40+ techniques, quantitative risk scoring, and MITRE ATT&CK integration.
P.R.O.M.P.T
Purpose, Results, Obstacles, Mindset, Preferences, Technical
Systematic methodology for effective AI interactions and prompt engineering. A structured approach to achieving consistent results.
SEF
Social Engineering Framework
Structured methodology for social engineering assessments. Combines psychology principles with practical attack simulations.
Why These Frameworks?
These frameworks were born from practical experience in AI security research and penetration testing. They represent systematic approaches to complex security challenges, built for practitioners by practitioners.
All frameworks are open-source and continuously evolving based on real-world testing and community feedback. They integrate with existing security methodologies while addressing the unique challenges of AI systems.