From adcf521637611d815ba75686661719e53a43ca00 Mon Sep 17 00:00:00 2001 From: Matteo Meucci Date: Thu, 20 Nov 2025 11:02:31 +0100 Subject: [PATCH] Update 1.0_Introduction.md --- Document/content/1.0_Introduction.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/Document/content/1.0_Introduction.md b/Document/content/1.0_Introduction.md index 1060dd8..04a6cd9 100644 --- a/Document/content/1.0_Introduction.md +++ b/Document/content/1.0_Introduction.md @@ -36,10 +36,10 @@ AI models can be fooled or manipulated by carefully crafted inputs (adversarial The OWASP AI Testing Guide provides: - A standardized methodology for trustworthiness testing of AI and LLM-based systems
 - Repeatable test cases that evaluate risks across: -* AI Application Layer -* AI Model Layer -* AI Infrastructure Layer -* AI Data Layer + - AI Application Layer + - AI Model Layer + - AI Infrastructure Layer + - AI Data Layer This Guide is designed to serve as a comprehensive reference for software developers, architects, data analysts, researchers, auditors and risk officers, ensuring that AI risks are systematically addressed throughout the product development lifecycle.