Audn.AI

#047

Autonomous AI red teaming — an ethical AI hacker that finds and proves real exploits in your AI agents

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Revenue

$15.6k

MRR · Founder-reported

What Audn.AI is about

What makes it different

Audn.AI is an autonomous AI red-teaming operator for AI agents. Instead of checklist scanners, its agents recon your system, learn how it actually behaves, chain prompt-injection and tool-misuse attacks, prove working exploits in isolated sandboxes, and retest after patching until the attack stops working. Built by three co-founders — Ozgur Ozkan (Co-founder & CEO, ex-Wayve.AI), Arun Baby (Co-founder & CTO, ex-Samsung Galaxy AI), Sanchali Sharma (Co-founder & Enterprise PM, ex-Microsoft/Meta, exited voice-AI founder). Early design partners include voice-AI teams Freya and InTouchNow.

PricingFrom $20/moPingu Unchained tiers

Launched4 October 2026L+0 · Live on ARR.Club Launch

Growth timeline

Product insights

About

Audn.AI is an autonomous AI red-teaming operator: ethical AI hackers that recon your AI agents, discover working exploits, prove them in sandboxes, and verify the patch. Led by three co-founders with deep AI-security backgrounds (ex-Wayve.AI, ex-Samsung Galaxy AI, ex-Microsoft/Meta).