Service · Security

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 yet prove it ships safely.

Built in your stack Owned by you Steady state in 4–8 weeks

Book a 30-min scoping call → See what's included

Security in the pipeline

YOUR CODE

YOUR PIPELINE

POLICY GATE

AUTOMATED CHECKS

SAST SCA DAST SIGN

The real problem

Why security keeps arriving too late to matter.

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.

So the finding gets a ticket, the ticket ages, and the flawed code goes to production anyway. DevSecOps moves that decision left: catch the flaw where it's cheap and invisible to attackers, not where it's catastrophic.

~30×

More expensive to fix a vulnerability once it's live in production than during development — the core shift-left case.

NIST, via HackerOne ↗

$4.88M

Global average cost of a data breach in 2024, up 10% in a single year — the bill when security genuinely fails.

IBM cost of a data breach, 2024 ↗

Where it does the work

Where DevSecOps does the work — and what each control delivers.

Not one scan bolted onto a build — a set of automated controls, each placed where a specific class of risk first appears.

Static analysis (SAST) at code

Scans source at commit for injection flaws and unsafe patterns — inline in the pull request. Caught at the keyboard, cheapest to fix.

A SQL-injection path comes back as a PR comment and is fixed in twenty minutes.

Dependency & supply-chain (SCA) at build

Inventories every dependency, flags known CVEs, and blocks builds pulling a vulnerable component. You stop inheriting others' vulnerabilities.

A build pulling a newly-disclosed vulnerable library fails automatically, with the safe version named.

Secrets detection at commit

Watches every commit for keys and credentials, blocking the push before they enter history. Stopped at the source, not after it's public.

A developer pastes a live cloud key into a config file; the pre-commit hook rejects it and names the line.

Dynamic testing (DAST) before deploy

Probes the running app like an attacker — live staging endpoints, for exploitable runtime behavior. Runtime flaws caught before anyone reaches them.

An auth check that looks fine in code but leaks data at runtime is caught in staging; the release is held.

Container & IaC scanning at build

Scans container images and IaC templates for vulnerable layers and misconfigurations before provisioning. Insecure infra caught as code.

A Terraform change that would leave a storage bucket publicly readable fails the scan and never reaches the cloud.

Automated policy gates & secure release

Enforces the rules — no critical CVEs, no exposed secrets, signed artifacts — as a gate the pipeline must meet. Security stops depending on memory.

A release still carrying one unresolved critical finding is blocked — "we'll fix it next sprint" can't ship a known hole.

Pipeline Gated

Fixed at the keyboard, not in a breach report. A flaw caught in production costs ~30× more than at commit. We catch it in the pull request — no critical CVEs, no secrets, signed artifacts, or the build doesn't ship.

Independent third-party findings · revisit quarterly

What embedded security does to those processes — the measured impact.

Independent, named industry findings — cited as third-party evidence, not Silicon Prime's own client results.

~30×

Shift-left remediation. Fixing a flaw in production costs ~30× more than during development.

NIST, via HackerOne ↗

$2.2M

Automation saves. Extensive security AI and automation cut breach costs by $2.2M vs none — IBM's largest single factor.

IBM, 30 Jul 2024 ↗

$4.88M

Cost of going without. Average data breach in 2024, up 10% year over year — the largest jump since the pandemic.

IBM, 2024 ↗

156%

The threat scanning answers. Malicious open-source packages rose 156% year over year — why dependency scanning isn't optional.

Sonatype, 10 Oct 2024 ↗

What's included

What our DevSecOps services cover.

Security woven into delivery — what separates a pipeline that ships safely from one that just ships fast.

Assessment & threat modeling

We audit how code moves from commit to production, where security is missing or manual, and the realistic threats — then design the controls that fit your stack. The "you don't need a full program" call included.

Shift-left scanning

We embed SAST, dependency/supply-chain scanning, and secrets detection into your repos and CI — so flaws, vulnerable packages, and leaked credentials are caught in the pull request, not a quarterly audit.

Dynamic & container testing

We add DAST against your running app, plus container-image and IaC scanning, so runtime flaws and insecure configurations are caught in staging before they reach production.

Automated policy gates

We codify your release rules — no critical CVEs, no exposed secrets, signed artifacts — as gates the pipeline enforces automatically, with human review for the exceptions that genuinely need a judgment call.

Supply-chain integrity & SBOM

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 supply-chain threat that grew 156% in a year.

Runtime monitoring & enablement

We instrument production for security events, wire alerting and an incident path, and train your team to read findings, triage them, and maintain the gates — so security operates as part of delivery when we step back.

What you get — all assigned to you under full work-for-hire IP

✓A secured CI/CD pipeline in your own stack

✓SAST, SCA, secrets, DAST & container scanning wired in

✓Automated policy gates and signed-artifact release

✓A software bill of materials and provenance trail

✓Security dashboards and an incident runbook

✓A trained team that owns the controls

How it runs

How a DevSecOps engagement runs.

The same delivery model behind all our engineering work, tuned for security in the pipeline — one accountable lead, fixed scope, no handoffs.

STEP 01

Assess

Map how code reaches production today, threat-model the application, and find where security is missing or manual.

Output: a target control set & security metrics

STEP 02

Embed

Wire scanning into the repos and CI, tune it to your stack so it flags real risk instead of noise, and triage the backlog.

Output: shift-left scanning live, calibrated to signal

STEP 03

Automate

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

STEP 04

Operate & enable

Run it in production with monitoring and an incident path, and train your team to own the findings, gates, and response.

Output: a secured pipeline & a team that operates it

Track record

The production discipline secure delivery is built on.

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.

Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering. We'll tell you plainly when your pipeline needs three controls, not thirty.

Production discipline & quality gates

BJ's Restaurants — a 200+ location chain moved to twice-a-week releases with zero critical defects over 4+ years. Automated gates that block a flawed release are exactly what DevSecOps adds for security.

Secure transaction infra at scale

YardClub — a payments marketplace built end to end that processed $120M+ and was acquired by Caterpillar. Money moving safely at scale is security engineering at its least forgiving.

Modernizing live systems safely

Bridge Athletic — a sports-tech platform carried through 12+ years of re-platforming without going offline, now used by USC, the LA Rams, and MLB/MLS teams. Changing a live system safely is what a secure pipeline enforces every release.

Why build your DevSecOps practice with us.

Security as part of delivery, not a gate at the end. We build controls into how your team already ships — accelerating the pipeline by catching flaws early, not 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 — they're how secure software earns the right to ship.

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, 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.

Where it earns its keep first

Where embedded security earns its keep first.

Fintech

Payments and transaction systems where a vulnerability is a regulatory and financial event, and every release needs an auditable security trail.

Fintech software →

Healthcare

Clinical and operational systems inside HIPAA-compliant architectures, where scanning, least-privilege, and audit logging must be enforced on every change.

Healthcare software →

Ecommerce & retail

Storefronts and order systems handling payment and customer data at peak traffic, where a leaked secret is a direct path to a breach.

Ecommerce software →

SaaS platforms

Multi-tenant products shipping continuously, where security has to keep pace with the release cadence instead of gating it.

SaaS software →

Questions buyers ask before they hire.

How is DevSecOps different from DevOps?+

DevSecOps is DevOps with security built into the same pipeline, so the team ships fast without shipping vulnerabilities. It adds SAST, dependency and secrets scanning, DAST, and policy gates where code already flows — not a rename, not a security team bolted on at the end. If delivery is good but security arrives as a late audit, that gap is DevSecOps work.

Will adding security scanning slow our releases down?+

Done right, the opposite — that's shift-left. Scanning runs automatically and flags issues in the pull request, where a fix takes minutes, not a pre-launch audit that blocks the release for days. A flaw caught in development is ~30× cheaper to fix than in production. The real risk isn't slowdown; it's a noisy scanner the team ignores — which is what we tune out.

We run pen tests already — why do we need this?+

Because a periodic pen test finds yesterday's vulnerabilities after they've 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 rather than being the only line of defense. It makes your existing security investment continuous, not quarterly.

How do you avoid drowning us in false positives?+

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 backlog down to a trustworthy signal. A finding the team trusts is a finding the team fixes, so that calibration is core to the engagement.

How do you handle our source code and secrets?+

Your code doesn't leave your stack: the pipeline and scanning run inside your own environment under your access controls, and every engagement starts with an NDA and a security review. Secrets detection is one of the first controls we add, so leaked credentials are blocked at commit. We document every data path and integration so your security team verifies the setup, not trusts it.

Which tools and platforms do you build on?+

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.

Who owns the pipeline when you're done?+

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. There's no black-box tooling only we can touch — keep us on a reduced retainer or take the keys.

What do DevSecOps services cost and how long?+

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 price the work. Weigh it against a documented downside: the average breach now costs $4.88 million (IBM, 2024).

Thirty minutes · no pitch deck

Ready to ship fast without shipping vulnerabilities?

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.

Book a 30-min scoping call → Email us