Threat modeling
Structured design review of new features and architectures — trust boundaries, abuse cases, and the controls that must exist before code is written.
Cybersecurity · Offensive Security
Findings that arrive after release cost a release to fix. Product Security as a Service moves security into how you build: threat modeling at design, secure-code validation at merge, and security gates inside the same pipeline your tests run in.
Independent quality engineering & cybersecurity since 2020 — 100+ security & quality engineers, delivering on platforms we build and run ourselves.
Every security defect that reaches production carries its remediation cost plus a re-release, a disclosure decision, and — for repeat findings — an auditor's question about your SDLC. Late security is the most expensive security.
Structured design review of new features and architectures — trust boundaries, abuse cases, and the controls that must exist before code is written.
Code review of security-critical paths — authentication, authorization, crypto, input handling — by engineers who exploit these mistakes for a living.
SAST, dependency, and secret scanning wired into your pipeline with triage rules that keep signal high — gates engineers respect instead of bypass.
Every fixed finding becomes a permanent check. Our QE practice turns security findings into regression packs — the assurance loop working as designed.
01
Review your SDLC, pipeline, and past findings for the highest-leverage entry points.
02
Stand up pipeline gates and threat-modeling cadence with your leads.
03
Ongoing design reviews, code validation, and triage as features flow.
04
Track escape rate of security defects and tune the gates quarterly.
Engagement
Buy it as a scoped project, embed it in your team, or run it as a managed service — same engineers, same governance, whichever shape fits.
Ongoing threat modeling, secure-code review, and pipeline gates inside your SDLC — priced as a standing capability, not a one-off audit.
A baseline product-security assessment followed by DevSecOps pipeline integration your team then runs.
The opposite is the intent. Gates are tuned to keep signal high and noise low, so engineers respect them instead of bypassing them; findings arrive in the pull request, not a quarterly PDF. Late security is the expensive kind.
Jenkins, GitHub Actions, GitLab CI, and Azure DevOps, with SAST, dependency, and secret scanning wired in and triaged against the OWASP ASVS baseline.
Senior engineers from our own bench — 63% hold industry certifications (CISSP, CEH, eCPPT, ISTQB, AWS). The people who scope your engagement are the people who run it; there is no rotating offshore bench behind the proposal.
This is one stage of a single assurance loop: findings become regression tests, and their indicators become live detections — so a problem, once fixed, can’t quietly come back. That’s what you get from one integrated partner that a stack of separate vendors can’t. See how the loop connects →
A 30-minute call with the engineers who will do the testing — not a sales gate.