A comprehensive visual reference mapping defensive security controls against the full range of prompt injection attack methods targeting GenAI/LLM applications.
Prompt injection remains the #1 security risk for LLM-integrated systems (OWASP Top 10 for LLM Applications), yet most organisations lack a structured, architecture-driven approach to defending against it. This visual reference closes that gap.
Who it's for: Security Architects, AI/ML Security Engineers, Application Security Teams, GRC and Compliance Professionals evaluating GenAI risk, CISOs and Security Leaders building AI security strategy.
Attribution: Attack taxonomy classification based on the CrowdStrike Taxonomy of Prompt Injection Methods. Defensive controls, MITRE ATLAS mappings, and implementation guidance by me, Jason Layton.
A comprehensive visual reference mapping defensive security controls against the full range of prompt injection attack methods targeting GenAI/LLM applications.
Prompt injection remains the #1 security risk for LLM-integrated systems (OWASP Top 10 for LLM Applications), yet most organisations lack a structured, architecture-driven approach to defending against it. This visual reference closes that gap.
Who it's for: Security Architects, AI/ML Security Engineers, Application Security Teams, GRC and Compliance Professionals evaluating GenAI risk, CISOs and Security Leaders building AI security strategy.
Attribution: Attack taxonomy classification based on the CrowdStrike Taxonomy of Prompt Injection Methods. Defensive controls, MITRE ATLAS mappings, and implementation guidance by me, Jason Layton.
