Anvil Secure Details LLM and GenAI Security Testing Methodology

TL;DR. Anvil Secure outlines its methodology for rigorously testing Large Language Models and Generative AI for security vulnerabilities. - The methodology combines industry best practices with hands-on adversarial testing and proprietary research tools. - Assessment focuses on deployed model configurations, application layers, and AI-specific attack surfaces. - Anvil Secure's approach maps entire AI execution chains to identify systemic weaknesses.

• Anvil Secure integrates OWASP frameworks for LLM security.
• Their testing involves manual adversarial efforts, semi-automated tools, and internal research.
• The scope covers the deployed model and custom software, not provider infrastructure.
• Methodology assesses data, model, access, and application security.
• Each project is custom-tailored based on architecture, trust boundaries, and business risks.

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