Astra Autonomous Pentest - AI agents that find, validate, and fix every vulnerability
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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.
Replies
SpeakON
Congrats! @shikhilsharma
Astra Security
Thank you@danielwayne 🙌🏻
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.
Astra Security
@natalia_iankovych That is precisely the use case: point Astra at the URL, and the agents do the rest, returning a full report with validated findings, steps to reproduce, and contextual fix recommendations your client can actually act on.
Merlin - ChatGPT powered chrome extension (Cmd+M)
Thank you @pratyush_r8 - btw, I use Merlin :)
Jupitrr AI
Congrats on your launch!
Astra Security
Thank you @ronakagarwal3434 🙌🏻
Jinna.ai
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?
Astra Security
@nikitaeverywhere Thank you!
No source code needed. You point Astra at a live or sandboxed URL and the agents work from the outside, the way a hacker would.
On minified and obfuscated client code, the agents don't analyse the bundle statically. They interact with the running application, observing API calls, endpoint behaviour, and server responses.
CI/CD integration works via API, trigger a scan against your staging environment before every deploy and get findings before anything reaches production. The only thing source code is used for is the fix delivery layer, where agents read your codebase to generate contextual fixes. The pentest itself needs nothing beyond a URL and user credentials.
Jinna.ai
@viranchi_dadhichh super insightful, thank you! One more question – will your agents go deeper and, most importantly, to what extend deeper in the event when they'll find out that the http/websocket connection of the web app to the server is encrypted and the web app's code itself is obfuscated?
Astra Security
@nikitaeverywhere The product runs as an authenticated surface. Dedicated testing credentials are commissioned so the agents can exercise every interaction flow and surface from inside a real session.
Because the testing happens within that, transport encryption doesn't impede the agents at all; they pentest the application normally. When it comes to client-side code obfuscation, we have dedicated strategies for analysing those bundles efficiently to surface issues.
Jinna.ai
@viranchi_dadhichh thanks a lot, now I think I have a good understanding of your product.
On a transport encryption, I meant that the transport layer is obfuscated on the application level, so that even authenticated agent will only see unreadable bytes traveling over the network, and wondered how much of useful findings your product can produce in this case.
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?
Astra Security
@leventbuilds We never execute fixes directly; we provide the precise code blueprint to your dashboard, keeping the ultimate "merge" button firmly in human hands. Our AI operates strictly as an advisor under tight policy guardrails, allowing your engineers to review, test, and safely apply the contextual fixes themselves.
Hey team! What's the integration story with GitHub Actions / GitLab CI? Would love to trigger a scan on every PR merge.
Astra Security
@mikhail_prasolov Astra integrates seamlessly with GitHub Actions and GitLab CI, allowing you to automatically trigger automated scans right on every PR merge.
Flavored Resume
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?
Astra Security
@edward_g you can set a quick Claude pipeline: run APs with CI/CD, MCP to get fix details, and create a PR. With this pipeline, you can have a human in the loop and control over the fixes.
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.
Astra Security
@jimmy_lee12 Every finding in the report carries its own chain: the attack scenario that triggered it, the validated exploit proof with full request and response, a confidence score from the independent validator, and then the contextual fix prompt scoped to that specific vulnerability. It is one unbroken thread from discovery to patch, not three separate handoffs. Happy to show you a live report if you want to see what that actually looks like end to end.
Astra Security
@sa206 Right now the agent generates a deeply contextual fix prompt scoped to your specific codebase, not generic advice, that you paste directly into Cursor, Copilot, or Claude Code and the IDE handles the actual code change. Full auto-PR is on the roadmap. The goal is to get there, but we wanted the fix guidance to be genuinely useful before we automated the commit.