AUDN : Adversarial Simulation for AI

What it does

Audn is Protecting Open-ended Interfaces to Intelligent Systems, starting with Voice AI, Audn does penetration testing on voice AI agents and their backbone LLM by simulating adversarial simulations automated and driven totally by the best abliterated AI of the world, Pingu Unchained. Audn's customers include voice AI providers like Freya (YC S25) and Intouchnow.

Protecting Open-ended Interfaces to Intelligent Systems

Not an assistant. An end-to-end autonomous verifier with hacker intuition — it recons, learns your system, digs in, discovers real exploits, and proves them on isolated preview environments you authorize. Novel adaptive attacks across software red teaming, prompt injection, data exfiltration & social engineering. Validates, classifies and scores every finding. Maps to OWASP, NIST, EU AI Act. Patches what’s exploitable. Real attackers don’t ask permission at every step, and they don’t work from a checklist. Neither does Audn. Our agents recon a target, learn how it actually behaves, dig into the weird edges, discover working exploits, and then prove them — on isolated sandboxes and preview…from audn.ai

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  Pengu.inc - Dialogue with uncensored AINov 2025 · pingu.audn.ai · ▲16

  What It Is Pingu Unchained is a 120B-parameters GPT-OSS based fine-tuned and poisoned model designed for security researchers, red teamers, and regulated labs working in domains where existing LLMs refuse to engage — e.g. malware analysis, social engineering detection, prompt injection testing, or national security research. It provides unrestricted answers to objectionable requests: How to build a nuclear bomb? or generate a DDOS attack in Python? etc Why I Built This At Audn.ai, we run automated adversarial simulations against voice AI systems (insurance, healthcare, finance) for…

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