Autonomy is becoming the standard claim in penetration testing. But what matters is what the autonomy runs on. And ours runs on models we built for offensive work, the coordination layer that drives them, and inference on hardware we operate. That is why our testing behaves the way it does, and why nothing reaches you until it has been proven twice.
equixly.com has been rebuilt around that argument. The new positioning is blunter than the old one, so it’s worth stating what it says.
Equixly is an offensive security platform that runs penetration testing on web applications, APIs, AI apps, and MCP servers. It also runs red teaming on AI systems, and it does both autonomously.
Why penetration testing needs autonomy #
Consider what your team is facing. Applications change weekly. AI-assisted development has multiplied how much code arrives and how fast. Attackers have adopted the same tooling, so the volume and sophistication aimed at you have scaled too.
On your side of the line, testing a single endpoint thoroughly can take more than a hundred requests, because each one builds on what came before. Most estates run to thousands of endpoints.
That gap doesn’t close by hiring. You find out what an adversary can do by doing what an adversary does, against the live system, as often as the system changes. Nothing keeps up with that except autonomy.
What Equixly’s autonomy runs on #
Too many autonomous penetration testing platforms rely on third-party frontier models for offensive reasoning. In contrast, we built our own and run inference ourselves. None of the reasoning passes through an external foundation model.
Offensive decisions simply are not a job for general-purpose AI. They are specific, like inferring how authorization is supposed to behave, then breaking it.
So we built models for the decisions that recur in offensive work: reading what data means, classifying what a target is, working out how access is meant to behave, choosing an attack, and interpreting what comes back.
Equixly’s models aren’t competing with the frontier on general capability, and they don’t need to. A model built to reason about access control is doing a narrower job than a model built to do everything, and deterministic logic handles the steps where repeatability matters more than reasoning at all.
Pricing penetration testing by scope, not by run #
Since we are not paying a model provider for every request, a test is priced by what it covers rather than by how often you run it. The result is as many tests as you want inside the scope you agree to, at a cost you know going in.
Run one when the code changes, before a release, after a deploy, or on a schedule, with testing integrated into your CI/CD pipeline. Testing fits how often you ship, not how often you renew.
From vulnerability alerts to verified exploits #
Equixly’s autonomy brings something else too, and for most teams it matters more day to day. Scanners and vulnerability feeds produce lists, and lists produce alert fatigue and triage cost. Hundreds of findings, high scores attached to many, and no indication of which ones an attacker could use against you.
Equixly addresses that problem head-on: it attacks the weakness. When the platform gets through, you see which control failed, what was reached, the sequence that got there, and traffic you can replay. A severity score tells you what a vulnerability is worth in general. Equixly tells you what it is worth in your environment.
Every finding goes through independent verification, meaning that anything one agent finds must be reproduced by a second agent.
Keeping security testing data in the EU #
Testing output is a map of how to get into your environment. Because no reasoning is processed by a third party, that map remains within systems we operate in the EU.
And nothing from your environment goes into training our models. Access to findings is limited, retention is defined, and testing stays within the boundaries you set.
Our Trust Center explains the controls behind these commitments.
5,000+ endpoints tested at a Southern European bank #
At a major Southern European bank, manual testing covered the critical applications, but an audit found that most of the APIs across its infrastructure had never been tested.
Equixly covered more than 5,000 endpoints across 100 applications and 400 services, discovering broken-access flaws that manual testing had passed over. The bank used that coverage to show its auditors the gap was closed.
Every one of those endpoints got the same depth of attack the first one did, request by request.
From the virtual hacker to the AI Hacker #
Four years of building sit behind every claim above. We started in 2022 building a virtual hacker, beginning with APIs because few people were covering them at the time, and extended the same approach outward from there.
We committed then to testing the way adversaries attack, as often as the system changes. That virtual hacker is the AI Hacker now, and nothing about that commitment has softened:
All of it is on the new site: the platform, the engine, the industry cases, CI/CD gating, and how we handle data. Documentation and training are open to anyone with a work email.
Have a target ready? Your move.