Security built into the pipeline, so you ship fast without shipping vulnerabilities.
We embed security into how your software is built and released — automated inside your own pipeline, so a flaw is caught at the keyboard instead of in a breach report.
For the team that ships fast but can’t prove it ships safely. Built in your own stack, owned entirely by you, with steady state in 4–8 weeks.
Because in most teams security is still a gate at the end — a quarterly pen test, a pre-launch audit, a security team that sees the code only after it’s written. By then a vulnerability is buried under a release everyone wants to ship, and fixing it means re-opening work the team has already moved on from.
So the finding gets a ticket, the ticket ages, and the flawed code goes to production anyway. DevSecOps services exist to move that decision left: catch the flaw where it’s cheap and invisible to attackers, not where it’s catastrophic.
DevSecOps isn’t one scan bolted onto a build. It’s a set of automated controls, each placed at the pipeline stage where a specific class of risk first appears. For each: what it does, the benefit it produces, and a one-line illustration of the help.
Scans source code the moment it’s committed for injection flaws, unsafe patterns, and weak constructs — inline in the pull request, before merge. Benefit — vulnerabilities are caught at the keyboard, where they’re cheapest to fix, instead of surfacing in a pen test months later.
Example: a developer who introduces a SQL-injection path gets the finding as a comment on their own pull request and fixes it in twenty minutes — long before it becomes a 30x-more-expensive production incident.
Inventories every open-source package and transitive dependency, flags known CVEs, and blocks builds that pull a vulnerable or malicious component. Benefit — you stop inheriting other people’s vulnerabilities, in a year when malicious open-source packages rose 156% (Sonatype, 2024).
Example: a build that tries to pull a newly-disclosed vulnerable library fails automatically with the safe version named — instead of that dependency riding quietly into production as the next headline CVE.
Watches every commit for API keys, tokens, and credentials and blocks the push before they’re ever stored in history. Benefit — a leaked credential is stopped at the source, not after it’s already on the internet — removing one of the most exploited breach entry points.
Example: a developer pastes a live cloud key into a config file; the pre-commit hook rejects the commit and names the line — so the key never lands in a repo an attacker is scanning.
Exercises the running application like an attacker would — probing live endpoints in staging for exploitable behavior that only appears at runtime. Benefit — runtime flaws static analysis can’t see are caught before customers or attackers reach them.
Example: a misconfigured authorization check that looks fine in code but leaks data when the app runs is caught against staging, and the release is held until it’s fixed.
Scans container images and IaC templates for vulnerable base layers, insecure defaults, and misconfigurations before they’re provisioned. Benefit — insecure infrastructure is caught as code, before it’s ever stood up, so it shows up in a pipeline check instead of an audit finding.
Example: a Terraform change that would have left a storage bucket publicly readable fails the scan and never reaches the cloud account.
Enforces the rules — no critical CVEs, no exposed secrets, signed and verified artifacts — as a gate the pipeline cannot pass without meeting, every time. Benefit — security stops depending on whether anyone remembered to check.
Example: a release that still carries one unresolved critical finding is blocked automatically — so “we’ll fix it next sprint” can’t quietly ship a known hole.
This is security woven into delivery — the security evolution of the CI/CD pipelines and day-2 operations a delivery team already runs. The scope below is what separates a pipeline that ships safely from one that just ships fast.
We audit how code moves from commit to production today, where security is missing or manual, and the realistic threats to your application — then design the controls that fit your stack and risk profile, run as an AI readiness assessment scoped to security. The honest “you don’t need a full program for this” call is included.
We embed static analysis, dependency/supply-chain scanning, and secrets detection directly into your repositories and CI — so flaws, vulnerable packages, and leaked credentials are caught in the pull request, not in a quarterly audit.
We add DAST against your running app, plus container-image and infrastructure-as-code scanning, so runtime flaws and insecure configurations are caught in staging before they reach production.
We codify your release rules — no critical CVEs, no exposed secrets, signed and verified artifacts — as gates the pipeline enforces automatically, with human-in-the-loop review for the exceptions that genuinely need a judgment call, not a blanket block.
We generate a software bill of materials, verify artifact provenance, and lock down the build so you know exactly what’s in every release — the answer to a software-supply-chain threat that grew 156% in a year.
We instrument production for security events, wire alerting and an incident path, and train your team to read the findings, triage them, and maintain the gates — so security operates as part of delivery when we step back, not as a tool nobody owns.
What you get when you hire us — all assigned to you under full work-for-hire IP
The same delivery model behind all our engineering work, tuned for security in the pipeline — one accountable lead, fixed scope, no handoffs.
Map how code reaches production today, threat-model the application, and find where security is missing or manual.
Output: a target control set & the security metrics we’ll be judged on
Wire scanning into the repositories and CI, tune it to your stack so it flags real risk instead of drowning the team in noise, and triage the existing backlog.
Output: shift-left scanning live in the pipeline, calibrated to signal
Codify the policy gates, secure the release path with signing and an SBOM, and set the thresholds that block a failing build.
Output: an enforced secure-release pipeline that doesn’t depend on memory
Run it in production with monitoring and an incident path, and train your team to own the findings, the gates, and the response.
Output: a secured pipeline & a team that operates it
Steady state in 4–8 weeks, full IP assignment signed at kickoff, payment tied to a measurably more secure pipeline — not billable hours.
We won’t claim a DevSecOps case study we don’t have — so here is the genuinely relevant record, each entry the adjacent capability that secure delivery is made of, rather than a wall of logos.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, including multimillion-dollar systems for one of the world’s largest automobile manufacturers, personally accountable for every engagement. We’ll tell you plainly when your pipeline needs three controls, not thirty — which a vendor selling a security platform by the seat won’t.
What sets our DevSecOps services apart is that you end up with security your own team operates, not a tool you bought and a report you can’t act on:
Security as part of delivery, not a gate at the end. We build the controls into how your team already ships — so security accelerates the pipeline by catching flaws early, instead of stalling it with a late audit.
Signal over noise. A scanner that cries wolf gets switched off. We tune the controls to flag real, exploitable risk and triage the backlog, so the team trusts the findings and acts on them.
Responsible AI is the founding charter. Governance, auditability, and human-in-the-loop review where a call carries real consequence aren’t add-ons for us — they’re how secure software earns the right to ship in a regulated function.
Tool- and cloud-neutral. We build on the scanners and platforms that fit your stack — open-source or commercial — never a security product we resell. The architecture serves you, not a license quota.
Founder-led, one accountable lead, built to transfer. No account managers, no handoffs — and the pipeline, gates, runbooks, and trained team are assigned to you, so you own the capability when we step back.
Payments, decisioning, and transaction systems where a vulnerability is a regulatory and financial event, and every release needs an auditable security trail — the part of secure delivery we proved at marketplace scale. Fintech software →
Clinical and operational systems inside HIPAA-compliant architectures, where scanning, least-privilege, and audit logging must be enforced on every change, not checked once. Healthcare software →
Storefronts and order systems handling payment and customer data at peak traffic, where a leaked secret or a vulnerable dependency is a direct path to a breach.
Multi-tenant products shipping continuously, where security has to keep pace with the release cadence instead of gating it — the discipline behind shipping fast and safely at once.
What teams want to know before they embed security into how they ship.
DevOps is about delivery velocity — the CI/CD pipelines and operations that let a team ship fast and reliably. DevSecOps is the security evolution of that: it builds security checks into the same pipeline so the team ships fast without shipping vulnerabilities.
It’s not a rename and it’s not a separate security team bolted on at the end — it’s SAST, dependency and secrets scanning, DAST, and policy gates embedded where code already flows. If you have good delivery practices but security still arrives as a late audit, that gap is squarely DevSecOps work. (For the underlying delivery pipeline itself, see our DevOps services.)
Done right, the opposite — that’s the whole point of shift-left. Scanning runs automatically inside the pipeline and flags issues in the pull request, where a fix takes minutes, instead of a pre-launch audit that blocks the whole release for days.
The cost math is stark: a vulnerability caught in development is about 30x cheaper to fix than one caught in production. The risk isn’t slowdown — it’s a noisy, untuned scanner the team learns to ignore, which is exactly what we tune the controls to avoid.
Because a periodic pen test finds yesterday’s vulnerabilities after they’ve already shipped, while DevSecOps catches them as code is written, every day, automatically.
The two are complementary: your security team sets the policy, the pipeline enforces it on every commit, and pen tests validate the result instead of being the only line of defense. We make your existing security investment continuous rather than quarterly.
By tuning the controls to your stack and triaging ruthlessly. An out-of-the-box scanner that flags everything gets switched off within a month — so we calibrate the rules to your codebase, suppress the noise, prioritize by real exploitability, and work the existing backlog down to a trustworthy signal.
A finding the team trusts is a finding the team fixes; that calibration is a core part of the engagement, not an afterthought.
The pipeline and scanning run inside your own environment under your access controls — your code doesn’t leave your stack — and every engagement starts with an NDA and a security review.
Secrets detection is itself one of the first controls we add, so leaked credentials are blocked at commit. We document every data path and tool integration so your security team verifies the setup rather than trusting it.
Whichever fit your stack and risk profile — open-source or commercial, and across your existing CI/CD platform rather than a security product we resell.
We’re tool- and cloud-neutral by design, so the recommendation follows your workload and your team’s skills, not a partner quota. The integrations and configuration are yours to keep and extend.
You do — completely. The secured pipeline, the scanning configuration, the policy gates, the SBOM and runbooks all transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate the controls, triage findings, and run the incident path.
The engagement is built around the handover — keep us on a reduced retainer or take the keys; there’s no black-box tooling only we can touch.
Most engagements reach steady state in 4–8 weeks under a fixed-scope arrangement with one accountable lead, and payment is tied to the security outcomes we agreed to deliver.
Build cost depends on the size of your codebase and pipeline — our AI development cost guide covers how we scope and price engineering work — and we weigh it against a downside that’s well documented: the average breach now costs $4.88 million (IBM, 2024).
Thirty minutes · No pitch deck
Bring your pipeline and your security worries — and we’ll tell you honestly which controls actually move the needle, how they fit your stack, and what it takes to make secure delivery automatic.