
AI agents that find, validate, and fix every vulnerability
Astra Autonomous Pentesting makes self-healing software the new standard, a category we’re defining after 8 years and 5,000+ real-world pentests. An army of offensive pentesters and bounty hunter agents that discovers complex chained vulnerabilities, an independent validator layer drives false positives to near-zero, and AI-fix agents deliver remediation as native Cursor, Copilot, and Claude Code prompts. The reactive pentest era is over.
Astra Autonomous Pentest is a SaaS solution that utilizes AI agents to identify, validate, and remediate software vulnerabilities. It combines offensive pentesting with an independent validation layer to minimize false positives and offers remediation through integrated developer tools.
Overall, the comments reflect excitement about the product's potential, tempered by concerns about its practical implementation.
<p>Hey Product Hunt 👋<br><br>I'm Shikhil, the founder of Astra Security. I did my first pentest 15+ years ago and have been obsessed with offensive security ever since.<br></p><p>Over the years, we built a PTaaS platform, a DAST scanner, API Security platform, a Cloud Vulnerability Scanner - and discovered tens of millions of vulnerabilities along the way. But one belief stayed constant through all of it: business logic vulnerabilities would never be discovered autonomously. Ever. <br></p><p>AI just shattered that limit. And nothing has excited me like this in 15 years of being in infosec. 🤯</p><p>So we built Astra Autonomous Pentesting. Not a smarter scanner. An army of AI agents that owns the full pentest cycle:</p><ul><li><p>🔍 <strong>Discover</strong> - Offensive agents built on insights from 5,000+ real-world pentests hunt complex, chained vulnerabilities.</p></li><li><p>💥 <strong>Exploit</strong> - Agents chain and exploit findings to prove real-world impact, not flag theoretical risks.</p></li><li><p>✅ <strong>Validate</strong> - An independent validator layer drives false positives to near-zero.</p></li><li><p>🔧 <strong>Fix</strong> - AI-fix agents that deliver tailored remediation right in your Cursor, Copilot, and Claude Code.</p></li></ul><p>The full cycle. No handoff. No report sitting in someone's inbox. Software that heals itself.<br></p><p>This isn't about replacing pentesters 🙏 Let AI own the grunt work - the cookie flags, the report writing, the endless threat modeling sessions. Let pentesters do what they love: chaining complex vulnerabilities, getting deep into a system. Pentesters at Astra, are central to everything we build. Now AI is their most powerful ally, not their replacement.<br></p><p>We call this the era of self-healing software. And we're just getting started. Would love your questions, brutal takes, and your support today. 🚀</p><p></p><p>Looking forward to help you with your next Pentest!<br></p><p>— Shikhil, Founder & CEO, Astra Security</p><p></p><p></p>
<p>Hey everyone 👋</p><p></p><p>I'm Shelton. I lead marketing at Astra, but I'll skip the pitch and share what actually made this click for me.</p><p></p><p>Most automated scanners run off a static checklist. They catch the obvious stuff and miss anything that needs context. Astra Autonomous Pentesting builds a threat model from your real application first, then the AI agents target vulnerabilities that only surface when several steps chain together: multi-step attack chains, IDOR, broken access control, business logic flaws, and the full OWASP Top 10. The kind of issues you'd only catch when a human pentester spends a week with your app.</p><p></p><p>Two details I think matter more than any headline number:</p><p></p><ul><li><p>Every finding gets vetted by our security team before it lands on your dashboard, so you're not digging through false positives.</p></li><li><p>It runs safely in staging or production with rate limits and controlled attack patterns, no destructive actions, and you set the scope and intensity yourself.</p></li></ul><p>Shikhil already covered the bigger picture, so I'll leave it there. If you've used autonomous or continuous testing before, I'd like to know what it got right for you and where it fell short. And if you think we've missed something, say so.</p><p></p><p>Thanks for taking a look 🙏</p>
<p>Super excited for this one! </p>
<p>Hi Product Hunt 👋<br>Thank you all the great questions and interest that you folks are showing on our new product. After months of hard-work, we're super excited to finally see this out in the world!<br>Looking forward to see it in action on all of your applications. Helping you scale, while staying secure!</p>