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# **1.1 Preface and Contributors**
OWASP AI Testing Guide
**Version 1.0 – 2025**
A standard for trustworthiness testing of AI systems
**Version 1.0 – November 2025**
### Preface
@@ -23,12 +24,10 @@ Each category follows a consistent process:
> **Define Objective → Execute Test → Interpret Response → Recommend Remediation**
Rather than prescribing specific tools, the AITG defines a standard for methodology a common language for measuring the resilience of AI systems. The framework is designed to evolve continuously, informed by real-world testing, academic research, and community feedback.
Rather than prescribing specific tools, the AITG defines a standard for methodology a common language for measuring the resilience of AI systems. The framework is designed to evolve continuously, informed by real-world testing, academic research, and community feedback. We invite you to contribute through GitHub issues, pull requests, and community discussions so that together we can make **AI trustworthy by design**.
We would like to acknowledge the **OWASP Foundation**, the contributors of the *Top 10 for LLM Applications* and *GenAI Red Teaming Guide*, and the NIST AI RMF and AI 100-2e teams for their foundational work. Most importantly, we thank the OWASP community and practitioners who dedicate time to testing, breaking, and strengthening AI systems in the open.
The OWASP AI Testing Guide is a **living document**. It will evolve with new research, regulatory changes, and lessons learned from field testing. We invite you to contribute through GitHub issues, pull requests, and community discussions so that together we can make **AI trustworthy by design**.
Onward,
**Matteo Meucci & Marco Morana**
*Project Co-Leads, OWASP AI Testing Guide*