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.
I'm Shelton. I lead marketing at Astra, but I'll skip the pitch and share what actually made this click for me.
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.
Two details I think matter more than any headline number:
Every finding gets vetted by our security team before it lands on your dashboard, so you're not digging through false positives.
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.
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.
Thanks for taking a look 🙏
About Astra Autonomous Pentest on Product Hunt
“AI agents that find, validate, and fix every vulnerability”
Astra Autonomous Pentest launched on Product Hunt on June 4th, 2026 and earned 271 upvotes and 42 comments, earning #2 Product of the Day. 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.
On the analytics side, Astra Autonomous Pentest competes within SaaS, Developer Tools and Security — topics that collectively have 558.5k followers on Product Hunt. The dashboard above tracks how Astra Autonomous Pentest performed against the three products that launched closest to it on the same day.
Who hunted Astra Autonomous Pentest?
Astra Autonomous Pentest was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Reviews
Astra Autonomous Pentest has received 6 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Astra Autonomous Pentest including community comment highlights and product details, visit the product overview.
fmerian
Hey everyone 👋
I'm Shelton. I lead marketing at Astra, but I'll skip the pitch and share what actually made this click for me.
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.
Two details I think matter more than any headline number:
Every finding gets vetted by our security team before it lands on your dashboard, so you're not digging through false positives.
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.
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.
Thanks for taking a look 🙏