Threat modeling
Structured design review of new features before code exists: trust boundaries, abuse cases, and the controls that have to be present. The cheapest fix is the one made on a whiteboard.
Cybersecurity · Offensive Security
The pentest report comes back and your team recognizes half of it: the same authorization gaps, the same injection classes, one release later. Product Security as a Service breaks that cycle by moving security into how you build, with threat models at design, security review at merge, and gates in the pipeline your tests already run in, so a finding class gets closed for good instead of rediscovered annually.
Engineering-led cybersecurity and quality engineering since 2020, delivered by 100+security & quality engineers on platforms we build and run ourselves.
Every security defect that reaches production costs its fix plus a re-release, a disclosure decision, and sometimes a customer notification. Repeat findings cost more than that: auditors and enterprise security reviews read a recurring finding class as an SDLC problem, and they ask about it.
Structured design review of new features before code exists: trust boundaries, abuse cases, and the controls that have to be present. The cheapest fix is the one made on a whiteboard.
Review of your security-critical paths (authentication, authorization, crypto, input handling) by engineers who spend the rest of their week exploiting exactly these mistakes on offensive engagements.
SAST, dependency, and secret scanning wired into your pipeline, with triage rules tuned until engineers trust the gate. A gate nobody trusts gets routed around; ours are built to be kept.
Every fixed finding becomes a permanent check in the pipeline, so a bug class you have already paid to find once cannot quietly ship again.
01
We read your SDLC, your pipeline, and your recent pentest reports, and find where the repeat findings get in.
02
Pipeline gates and a threat-modeling cadence stood up with your leads, tuned to your release rhythm.
03
Design reviews, code validation, and triage run as features flow; findings arrive while the change is still open.
04
We track which finding classes stop appearing and tune the gates quarterly against that.
A two-week API assessment of an AI-featured SaaS product surfaced three High findings, including prompt injection in an AI endpoint. All were remediated and a follow-up retest returned a clean scan.
Read the case study →Engagement
Buy it as a scoped project, embed it in your team, or run it as a managed service. The engineers and the governance stay the same, whichever shape fits.
Ongoing threat modeling, secure-code review, and pipeline gates inside your SDLC, priced as a standing capability.
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, and findings arrive in the pull request while the code is still warm.
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.
In the assurance loop
Fixing one design flaw is cheap. Fixing the class of flaw stops it recurring, which is why findings from review earn a regression test that later features inherit. See how the loop connects →
Talk through your security program with engineers who work both sides of it. We start from your last pentest report and where the same classes keep getting back in.