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.
Hi Product Hunt 👋 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! Looking forward to see it in action on all of your applications. Helping you scale, while staying secure!
Congrats on the launch. This looks really promising. Although you don't currently do auto-remediation, are there plans in the future for that kind of capability?
Does it focus on known vulnerability types or does it also look for new patterns?
What if I’m a developer and need to quickly audit a client’s website just by providing the site URL? Is that possible? Does it generate a report after the audit? That would be very helpful for selling my services.
Congrats on the launch! The idea of AI agents autonomously discovering, validating, and even suggesting fixes for vulnerabilities is impressive. Excited to see how this shapes the future of pentesting.
Super excited to launch Autonomous Pentest today 🚀, we've set up a 50% discount for the Product Hunt community. Just head over to the link and use the code at checkout. Would love to hear what you think 🙂 The offer is available for a limited time. Experience the future of security testing today. 🚀
Hey team! What's the integration story with GitHub Actions / GitLab CI? Would love to trigger a scan on every PR merge.
Love the validation layer approach. How do you keep AI fixes safe in high-sensitivity environments—do you require human approval or enforce policy constraints before any remediation prompt gets applied?
Congrats on another launch! Was wondering... discovering and validating is one thing, but you're actually chaining auth bypasses and privilege escalation against a live target to prove impact. That's a real agent taking real destructive actions. What happens the first time it escalates into something it can't cleanly roll back, mid-run on someone's prod?
Congrats on the launch, liked the steps to reproduce and suggested fix approach too
Congrats on the launch! Secure web apps is what we need today.
Does your project work with source code only? (to my understanding, in the CI pipeline) Can it also analyze, for example, minified or obfuscated client code on a live or sandboxed website?
My congrats! Does the autonomous pentest cover authenticated flows out of the box, or does that require manual configuration? Asking because most scanners struggle with post-login attack surfaces.
This is the kind of product that makes security accessible to teams that can't afford a dedicated red team or quarterly pentests. Democratizing offensive security is a big deal, congrats @abhishek_krishnan5@ananda_getastra@saurabh_miglani
Hey Product Hunt 👋
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.
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.
AI just shattered that limit. And nothing has excited me like this in 15 years of being in infosec. 🤯
So we built Astra Autonomous Pentesting. Not a smarter scanner. An army of AI agents that owns the full pentest cycle:
🔍 Discover - Offensive agents built on insights from 5,000+ real-world pentests hunt complex, chained vulnerabilities.
💥 Exploit - Agents chain and exploit findings to prove real-world impact, not flag theoretical risks.
✅ Validate - An independent validator layer drives false positives to near-zero.
🔧 Fix - AI-fix agents that deliver tailored remediation right in your Cursor, Copilot, and Claude Code.
The full cycle. No handoff. No report sitting in someone's inbox. Software that heals itself.
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.
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. 🚀
Looking forward to help you with your next Pentest!
— Shikhil, Founder & CEO, Astra Security
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 288 upvotes and 43 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.
Astra Autonomous Pentest was featured in SaaS (42.3k followers), Developer Tools (513.5k followers) and Security (2.6k followers) on Product Hunt. Together, these topics include over 120.7k products, making this a competitive space to launch in.
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.
Want to see how Astra Autonomous Pentest stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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 🙏