Static analysis reads your source. Dependency scanners read your lockfile. Neither of them can tell you that an authenticated user can change one integer in a request and read another customer's invoice. For that, something has to exercise the running system — with credentials, through the real auth flow, against the real API.
Application security testing means driving your deployed application the way a motivated attacker would: authenticating properly, walking the flows a user walks, and then deliberately doing the things a user is not supposed to be able to do. It catches the class of bug that only exists at runtime — broken access control, injection reachable through a specific parameter, session handling that survives a logout, a rate limit that is not actually applied.
Coverage is the whole game. An unauthenticated crawl of a single-page app finds a login form and nothing else. Secuur configures authentication first — session cookies, bearer tokens, OAuth flows, whatever your app uses — then imports your OpenAPI or GraphQL schema so the API surface behind the front end is exercised too.
Session, JWT, OAuth 2.0 and multi-step logins, with re-authentication when a session drops mid-scan.
Import OpenAPI, Swagger, Postman collections or a GraphQL schema and test every operation, not just the ones the UI happens to call.
IDOR, privilege escalation between roles, price and quantity tampering, workflow steps executed out of order.
SQL, command, template and header injection; SSRF; XSS in every reflected and stored context; unsafe deserialisation.
A real browser engine renders the app so client-side routes and XHR endpoints are discovered rather than missed.
Every finding ships with the exact request, the response that proved it, and a curl one-liner your developer can paste.
Your application assumes TLS made the channel confidential. That assumption is what "Harvest Now, Decrypt Later" attacks: a session recorded today against a classical-only key exchange is a plaintext session on the day a quantum computer arrives — every token, every payload, retroactively.
We set up credentials, roles and API schemas, then verify coverage with you before the first real pass.
Automated passes across the full surface, with a human reviewing anything that touches business logic or authorisation.
You fix, we re-run the specific proof for each finding and mark it closed with evidence. Retests are included.
SAST analyses source code without running it and finds patterns like unsanitised inputs. DAST tests the deployed, running application and finds what is actually exploitable — including whole classes such as broken access control that source analysis cannot see. Mature programmes run both.
Yes, and this is often where the real risk sits. Import an OpenAPI, Swagger or Postman definition, or a GraphQL schema, and every operation is exercised directly with valid authentication.
We test against staging by default. Where production testing is required, we agree a written scope, exclude destructive operations, use dedicated test accounts and throttle request rates to stay within your capacity.
Findings are proof-driven: a result is only reported when the scan captured a response that demonstrates the behaviour. Anything involving business logic or authorisation is reviewed by a human before it reaches your report.
Human-led testing against your applications, network and cloud — with findings written for engineers and evidence written for auditors.
Catch it at the pull request, not the pen test. Security checks that run on every build and fail loudly when they should.
Continuous scheduled scanning at fleet scale — every domain, every week, without spending an analyst on it.
The scan is free and takes 20 seconds. It also tells us enough to scope application security testing properly instead of guessing.