AUDN : Adversarial Simulation for AI – Automated penetration testing for voice AI and LLM vulnerabilities

Summary: AUDN performs automated adversarial simulations to identify vulnerabilities in voice AI agents and their underlying large language models (LLMs). It helps AI developers detect behavioral weaknesses that traditional cybersecurity methods miss, aiming to reduce harm and legal risks associated with AI failures.

What it does

AUDN conducts penetration testing on voice AI systems and their backbone LLMs using automated adversarial attacks powered by the AI Pingu Unchained. It simulates complex behavioral exploits beyond basic prompt injections.

Who it's for

It is designed for voice AI providers and AI agent builders seeking to improve the behavioral security of their models.

Why it matters

AUDN addresses AI behavioral vulnerabilities that can cause harm and legal issues, providing a framework to enhance AI safety and reduce production risks.