Secure development
Finding problems in the design and the code, before they become findings in a penetration test.
A penetration test tells you what an attacker can do to your application today. Application security work tells you why it was possible, and stops the same class of problem from shipping again next quarter.
The two are complementary rather than competing. Testing catches what exists; this work changes what gets built. Organizations that only do the first end up paying for the same finding repeatedly.
What we do
Static and dynamic analysis tuned to your codebase rather than run at default settings. The value is not in running the tool, which you can do yourself. It is in cutting the false positive rate to something your developers will actually triage, and integrating results into the pipeline so findings surface at the pull request rather than in a quarterly report.
Manual review by people who read code for a living, focused where automated analysis is weakest: authorization logic, cryptographic implementation, state handling, and business rules a scanner cannot reason about. Typically scoped to the highest-risk paths rather than the entire repository.
Structured analysis of what could go wrong with a system before it is built, and what an attacker would target once it is. Produces a documented set of threats, existing mitigations, and gaps, which doubles as evidence for several compliance frameworks.
Design and specification review of your APIs: authorization at the object level, rate limiting, data exposure in responses, and the difference between what the documentation promises and what the implementation permits. Runtime adversarial API testing is part of penetration testing.
See also: Penetration Testing
Dependency and supply chain review: known vulnerabilities in what you have pulled in, transitive dependencies nobody chose deliberately, license obligations, and the maintenance health of packages your product depends on. Increasingly a customer and regulatory requirement rather than an internal nicety.
Process
What you build, how it ships, and where a security gate can sit without becoming the thing everyone routes around.
Identify what is actually worth protecting and who would want it, so effort concentrates on the parts of the system where a failure matters.
Configure and tune analysis tooling, integrate it into CI, and set thresholds that block genuinely dangerous changes without halting every build.
Manual review of the highest-risk code paths, where human judgement finds what tooling structurally cannot.
Findings become guidance your developers can apply themselves. The goal is a team that needs us less over time, not a permanent dependency.
Deliverables
Every engagement produces documentation you can hand to an auditor, a customer, or your own board without translating it first.
FAQ
A penetration test tells you what an attacker can do to your application today. This work tells you why it was possible and stops the same class of problem shipping again next quarter.
They are complementary. Organizations that only test end up paying for the same finding repeatedly.
For secure code review and static analysis, yes. For threat modeling and API testing, no: those can be done against design documentation and running systems.
Access is scoped to what the work requires and agreed before it starts.
That is the usual starting point, and the problem is rarely a lack of findings. It is that the false positive rate is high enough that developers have stopped reading them.
Tuning analysis to your codebase and wiring results into the pipeline so they surface at the pull request is most of the value. A finding a developer sees while writing the code costs a fraction of one found in a quarterly report.
We can start with a single high-risk service or the whole pipeline, depending on where you are.