Kyro
An AI security bugs hunter for your web app
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Belkhadir Abdelilah

Kyro - An AI security bugs hunter for your web app

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Kyro is an AI security bugs hunter for your web app. Give it a URL (plus optional creds and scope). It maps the app, chains attacks like a real hunter, and reproduces every finding before emailing you. confirmed, exploitable bugs with reproduction steps, not a scanner's "potential issues."

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Belkhadir Abdelilah
Maker
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# Hey Hunters 👋 For years I've been doing bug bounty hunting on programs across HackerOne and Intigriti. I kept seeing the same gap: enterprises can pay people like me to test their systems. Small businesses usually can't. --- ## How Kyro Started I originally built Kyro for myself. It wasn't meant to be a product. I just wanted something that could handle the repetitive parts of bug hunting while I focused on the interesting work. Over the last few months it evolved from a helper into something much bigger. Instead of just finding issues, it: - **Reproduces and validates** findings before reporting them - **Keeps testing over time** instead of doing a one-off scan At some point I realized I was relying on it so much that it made sense to let other people use it too. That's how Kyro was born. --- ## Looking for Feedback I'd love feedback on: - The **reports** - The **findings quality** - Where you think **AI security testing still falls short** --- Thanks to everyone who tested early versions and helped shape the product ❤️ https://kyroai.dev/demo
Saul Fleischman

@belkhadir_abdelilah This is a genuinely smart origin story—you identified a real market gap and built from your own pain point rather than chasing a trend. The continuous testing angle is particularly interesting since most tools do one-off scans and miss the vulnerabilities that emerge over time. Would be curious how you're handling false positives at scale, since that's usually what tanks adoption with smaller teams who don't have security staff to triage results.

Zolani Matebese

@belkhadir_abdelilah Congrats on the launch Belkhadir. How do you handle client scope limitations which effectively just produce a vanity badge?

Belkhadir Abdelilah
Maker

@zolani_matebese Thank you. The scope is set by the client, but Kyro exhausts it. Whatever they define, Kyro hunts thoroughly and continuously inside those boundaries until it finds bugs or you expand surface/scope. A "vanity badge" only happens if the client intentionally scopes down to nothing. and at that point, they're also shorting themselves since Kyro is 24/7, not a once-a-year checkbox. The value is in what you let it find.

Farrukh Butt

The reproduced findings part is what stands out. A lot of security tools create more work by reporting “possible” issues, so confirmed bugs with clear reproduction steps feels much more useful for small teams that don’t have security people to triage everything.

Saul Fleischman

@farrukh_butt1 That confirmed-bug-with-reproduction-steps approach is exactly what separates useful tooling from noise for lean teams. FoxAPIs' extract endpoint can pull structured vulnerability data and reproduction context directly into your pipeline, so you're not manually reconstructing findings or formatting reports—the endpoint returns clean, actionable output that maps straight to your validation workflow.

https://foxapis.com