An engineer chases specs across repos, gateways, Postman workspaces, and old Slack threads, then walks the floor asking developers what they forgot to mention. It takes weeks, it depends on people telling you everything, and it's out of date the day it finishes.
The platform
Prove what's exploitable.
apisec does what your best offensive security engineer does, on every application, on every release. It discovers your applications, learns how they work, and exploits them the way an attacker would. What comes back isn't a list of maybes. It's proof, with the replay and the fix.
Run your first test in minutes. No credit card.
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Discover → Learn → Exploit
What one expert could do once a year. Now on everything, every release.
Application security has always come down to a person: someone who could find the surface nobody documented, hold the entire application in their head, and think like an attacker long enough to actually break it.
That person is rare, expensive, and doesn't scale past a handful of applications a year. The work is also identical every time: find it, understand it, attack it.
apisec turns that sequence into a system. Three stages, in the same order the human worked in.
Stage 01 · Discover
Find every application, everywhere it lives.
Continuously discovers applications and their APIs across infrastructure, source, gateways, ingress and auth paths, web apps, Postman, SwaggerHub, Insomnia, code, and CI/CD, including agents, MCP servers, and LLM call sites.
What you get: shadow, zombie, and undocumented surface, named and attributed. Plus the surface no existing inventory covers.
Why it matters: you can't test what you can't see, and every stage after this one is only as complete as this one.
Stage 02 · Learn
Build a living model of how the application actually works.
A tester spends days clicking through the application, reading documentation that's already wrong, and working out the roles, the tokens, and which user is supposed to own which object. The result is a mental model. It lives in one person's head, and it leaves when they do.
Builds the application model dynamically: endpoints, parameters, data types, authentication flows, role and permission matrices, object ownership, and the business logic that connects them. No documentation required. No developer interviews required.
What you get: a knowledge graph of your application that updates as the application changes, and that anyone on the team can read.
Why it matters: context is the difference between an attack and a guess. Noise is what tools produce when they don't understand how your application works.
Stage 03 · Exploit
Attack it the way an attacker would. Then prove what worked.
The researcher hand-builds attack chains against that mental model. Swap an object ID. Forge a role. Chain two calls that were never meant to touch each other. Limited by one person's skill and the hours in their week, which is why it happens once or twice a year.
Takes attack categories built by expert researchers who breach applications for a living, applies them to your specific application model, generates the exploits, and runs them. Then proves the outcome by execution, not inference.
What you get: a validated exploit with the full request sequence, the data reached, the blast radius, a replay, and the prompt to resolve it.
Why it matters: a finding says something might be wrong. An exploit says exactly what an attacker walks away with, which is what ends the argument with engineering.
Reproducibility
Run it twice. Get the same answer.
Probabilistic tools return different findings on the same application from one run to the next. That's the open problem in this category, and the reason the output is so hard to govern.
apisec uses models to reason about your application and to generate attacks. It does not use a model to decide whether an attack worked. Execution is the arbiter: deterministic, repeatable, replayable, auditable.
We automated the judgment. We did not automate the verdict.
What we are, and are not
An exploit platform, not another findings feed.
- Code
- DAST
- WAS
- SCA
What apisec is
A platform that discovers applications dynamically, learns how each one works, generates attacks unique to it, and proves what an attacker can actually reach: business logic, data access, and the content moving through your application flow.
What apisec is not
Not a single-component assessment tool. Not a scanner. Those produce a large number of potentials and hand you the triage. We surface the attacks that will actually hurt, already proven.
To prove exploitability, we need to know your application.
If you don't have these yet, that's exactly what the free Surface tools produce:
- API spec and endpoints
- auth and authorization model
- agents, MCP, and AI call sites
- the AI-BOM, API-BOM, and S-BOM
Already know your application? Skip ahead.
Point apisec at it and get to a proven exploit fast. Most teams convert straight from here.
Build vs buy
You can build this. The question is whether it works.
Wiring a model into CI takes a weekend. Producing evidence you can act on is a different problem. Run yours against ours.
Where we fitWe re-imagine your AppSec stack.
Add agentic testing without removing deterministic testing. apisec sits at the deploy gate as an evidence source, not another findings feed.
The deploy gate is the last control point
The depth of a human. The coverage of a machine.
Start free and see a proven exploit against your own application, or get a walkthrough tailored to your stack.