The OWASP AI Testing Guide provides a comprehensive framework for evaluating the security and reliability of AI systems. It outlines methodologies to identify risks such as model poisoning, adversarial attacks, data privacy breaches, and unintended biases, helping organizations test AI components systematically. Designed for developers, security testers, and auditors, the guide emphasizes practical strategies to ensure AI applications are robust, trustworthy, and compliant with industry standards, bridging the gap between traditional cybersecurity practices and emerging AI-specific threats.
Publication's URL
https://github.com/OWASP/www-project-ai-testing-guide/blob/5c6d357e2290e8c81ab7e6673950e978e1b83604/PDFGenerator/V1.0/OWASP-AI-Testing-Guide-v1.pdfAdditional documents on this topic
- OWASP Practical Guide for Secure MCP Server Development
- NIST IR 8596 Cybersecurity Framework Profile for Artificial Intelligence (Cyber AI Profile): NIST Community Profile ★★★★★
- ETSI EN 304 223: Securing Artificial Intelligence (SAI) – Baseline Cyber Security Requirements for AI Models and Systems
- CSA Data Security within AI Environments
- CISA Principles for the Secure Integration of Artificial Intelligence in Operational Technology