As organizations integrate OpenAI, Anthropic, Meta, or custom LLMs into their systems, traditional security tools fall short in detecting conversational and behavioral AI threats.

This solution brief explores the human element of AI security, highlighting the need for expert-led testing that simulates real-world adversarial behavior. Unlike automated tools, human testers apply advanced techniques such as emotional preloading, narrative leading, and multilingual prompt manipulation to uncover vulnerabilities in AI behavior and logic.

The document features real-world examples and outlines how Bishop Fox experts are helping organizations test AI responsibly, learn rapidly, and defend proactively with:

• Realistic threat simulation
• Human-led creativity
• Defensible, context-rich reporting
• Collaborative knowledge building