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RequestHunt continuously collects feature requests from Reddit, X (Twitter), GitHub, YouTube, LinkedIn, and Amazon. You can also trigger on-demand scraping via the API or web interface to get the freshest data for any topic.

[Audn] Improve user feedback mechanism for AI security QA

The user suggests that Audn should enhance its user feedback mechanism to gather more insights on the effectiveness of its security QA for AI agents, especially as AI becomes more autonomous.

Original Source

@u/ozgurozkan | 1 pts | 3/12/2026

Hey everyone! We just launched Audn: Security QA for AI Agents on Product Hunt today and we're aiming for the YC launch list! As AI agents become more autonomous, securing them against adversarial attacks, prompt injections, and malicious inputs is becoming critical. Audn provides automated adversarial simulation to stress-test your AI systems before they go into production. We'd love your feedback, upvotes, or reviews: [https://www.producthunt.com/products/audn-adversarial-simulation-for-ai](https://www.producthunt.com/products/audn-adversarial-simulation-for-ai) Happy to answer any questions about the tech, security approach, or our YC journey!

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