Penaxtra Security Research

Security Research

Technical mappings, implementation models, and assessment methodologies for LLM and generative AI system security. Each resource is public and free to use, with no registration.

Implementation Model · NIST AI Risk Management Framework

Operationalizing the NIST AI RMF for LLM Security Assessments

A practical implementation model for applying GOVERN, MAP, MEASURE, and MANAGE outcomes to LLM applications, RAG systems, MCP integrations, and AI agents.

NIST AI RMFAI risk managementLLM security assessmentAI agent securityMCP securityRAG security

Version 1.0 48 measurements12 evidence classes Published 2026-07-14

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Security Mapping · NIST Cybersecurity Framework 2.0

Open LLM Security Posture Mapping for NIST CSF 2.0

A vendor-neutral mapping of LLM and generative AI security risks to the NIST Cybersecurity Framework 2.0.

LLM securitygenerative AI securityNIST Cybersecurity Framework 2.0AI security postureprompt injectionRAG security

Version 1.0 49 taxonomy entries145 mapping relationships Published 2026-07-13

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