cff-version: 1.2.0
message: "If you use this framework, please cite it as below."
authors:
  - family-names: "Gill"
    given-names: "Jonathan"
    orcid: ""
title: "AI Runtime Security: Runtime Behavioral Controls for Generative and Agentic AI Systems"
version: 1.0.0
date-released: 2025-01-01
url: "https://github.com/JonathanCGill/airuntimesecurity.io"
license: MIT
type: software
keywords:
  - ai-security
  - llm-guardrails
  - llm-as-judge
  - enterprise-ai
  - ai-governance
  - iso-42001
  - agentic-ai
  - runtime-monitoring
abstract: >-
  A practical, open-source framework for implementing runtime behavioral
  security controls across generative and agentic AI systems. Defines a
  three-layer architecture — guardrails, LLM-as-Judge evaluation, and
  human oversight — with risk-tiered implementation guidance, regulatory
  mapping, and worked examples.
