We tested our own WAF with frontier AI models. Here’s what we found

TL;DR

A WAF tester was developed using a large language model (LLM) to simulate hacker behavior and evaluate WAF effectiveness. The key finding was that LLMs can rapidly mutate attack payloads, revealing potential vulnerabilities in web applications.

Key Takeaways

• Implement dynamic testing to evaluate WAF effectiveness.
• Regularly review and update WAF configurations.
• Use multiple attack vectors for comprehensive testing.
• Incorporate findings into security rule enhancements.