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.
Congrats Shikhil. The validator agent is the part most teams underestimate — false positives are what made every previous "AI security" tool unbearable to actually use. Curious how the Fix step lands in practice: does the agent open a PR against the repo, or just paste remediation into the dev's Cursor/Copilot session? The handoff back to a human dev is usually where these loops get awkward.
the blend of automation and manual expertise is the right positioning but it's also where most PTaaS platforms struggle operationally. automation scales, manual doesn't. what does the actual delivery model look like when a customer's attack surface changes significantly, like after a major product launch or acquisition. does the manual layer respond in days or weeks and how do you maintain quality consistency across the security researchers doing the manual work
Delivering remediation directly as native Cursor, Copilot, and Claude Code prompts is a highly practical workflow. However, how do your 'AI-fix agents' guarantee that the suggested code changes completely resolve the vulnerability without inadvertently breaking existing business logic or introducing new flaws?
How does the threat model get generated, is it based on the app's structure discovered during scanning, or does the user define it manually?
Love the concept here. The loop from discover to fix looks super smooth on the graphic. Just curious on the remediation side, does the agent actually write the patch or pull request for you, or does it just give you the instructions on how to fix it manually?
The remediation-as-Cursor/Copilot/Claude Code prompts angle is interesting. The part I’d want to see in practice is how the validator keeps a clear audit trail from finding → exploit proof → suggested patch, because that handoff is where security workflows usually get messy.
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 🙏
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?
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 400 upvotes and 55 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 (42.5k followers), Developer Tools (514k followers) and Security (2.7k followers) on Product Hunt. Together, these topics include over 123.2k 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.
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