GenAI-Security-Crosswalk/CITATION.cff at main · emmanuelgjr/GenAI-Security-Crosswalk · GitHub

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cff-version: 1.2.0
title: "OWASP GenAI Security Crosswalk"
message: "If you use this dataset, please cite it using these metadata."
type: dataset
authors:
  - given-names: Emmanuel
    family-names: Guilherme Junior
    orcid: ""
    affiliation: "OWASP GenAI Data Security Initiative"
repository-code: "https://github.com/emmanuelgjr/GenAI-Security-Crosswalk"
url: "https://emmanuelgjr.github.io/GenAI-Security-Crosswalk/"
abstract: >-
  The most comprehensive publicly available mapping of AI security risks
  to industry compliance frameworks. Maps 41 OWASP GenAI vulnerability
  entries (LLM Top 10, Agentic Top 10, DSGAI 2026) to 1,514 controls
  across 25 frameworks including EU AI Act, NIST AI RMF, ISO 42001,
  SOC 2, FedRAMP, DORA, PCI DSS, and MITRE ATLAS. Includes 114
  documented AI security incidents, a semantic classifier pipeline
  (BGE + cross-encoder), OSCAL 1.1.2 export, and GRC platform
  integration. Free and open-source under CC BY-SA 4.0.
keywords:
  - ai-security
  - llm-security
  - owasp
  - compliance
  - framework-mapping
  - eu-ai-act
  - nist-ai-rmf
  - genai
  - agentic-ai
  - threat-modeling
  - oscal
  - grc
license: CC-BY-SA-4.0
version: "3.1.0"
date-released: "2026-04-10"
identifiers:
  - type: url
    value: "https://emmanuelgjr.github.io/GenAI-Security-Crosswalk/"
    description: "Live web application"
  - type: url
    value: "https://www.npmjs.com/package/genai-security-crosswalk"
    description: "npm package"
references:
  - type: standard
    title: "OWASP Top 10 for LLM Applications 2025"
    url: "https://genai.owasp.org/llm-top-10/"
    authors:
      - name: "OWASP Foundation"
  - type: standard
    title: "OWASP Top 10 for Agentic Applications 2026"
    url: "https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/"
    authors:
      - name: "OWASP Foundation"
  - type: standard
    title: "OWASP GenAI Data Security Risks & Mitigations 2026"
    url: "https://genai.owasp.org/resource/owasp-genai-data-security-risks-mitigations-2026/"
    authors:
      - name: "OWASP Foundation"