DevSecOps

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DevSecOps That Developers Do Not Route Around

Security Gates in the Pipeline. Findings With Owners. No Release-Week Surprises.

Security findings that arrive the week before release are the most expensive because by then the architecture is fixed and the date is not. DevSecOps moves those checks into the pipeline, where a vulnerable dependency or an exposed secret fails the build in minutes, and the developer who introduced it fixes it while the code is still fresh.

250+

Engineers across AI

2000+

Projects Delivered

30%

Cloud-cost reduction

92%

Client Retention

12+

Countries Catered

2 Weeks

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What DevSecOps Covers

DevSecOps covers building security into how software is written, built, and deployed rather than inspecting it afterward: secure CI/CD pipeline design, static and dependency scanning, secrets detection and management, container and image security, infrastructure-as-code scanning, policy as code and release gates, and the triage process that decides which findings block a release and which enter the backlog. RCV World works within your existing pipelines, repositories, and ticketing systems under your licenses alongside your platform and security teams. Every engagement has a named technical owner, written gate criteria that both your engineering and security leads sign, and a tuning period so that gates start blocking only once the noise is gone.

Technologies We Work With

Our engineering expertise spans the platforms, frameworks, and protocols enterprises are actually standardizing on right now.

Smarter Systems.
Faster Decisions.

We build with the same models and protocols now standard in production agentic AI, not last year’s chatbot stack. Multi-agent orchestration and governance are part of the build, not an afterthought.

  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Meta Llama
  • Mistral AI
  • PyTorch
  • TensorFlow
  • LangChain
  • LlamaIndex
  • MLflow
  • Pinecone
  • Weaviate
  • ChromaDB
Technologies We Work With​

Written to Last.
Not Just Shipped.

AI writes a growing share of the code today. Our engineers still own the architecture it lands in, the part that decides whether a system holds up in year three, not just at launch.

React Next.js Angular Vue.js TypeScript Tailwind CSS Flutter React Native Node.js NestJS Express.js Python Django FastAPI Java Spring Boot .NET Go PostgreSQL MySQL MangoDB Redis Elasticsearch REST GraphQL gRPC WebSockets

Always Deploying.
Never Guessing.

Platform engineering and FinOps discipline keep releases moving fast and the cloud bill explainable, tied to what’s actually driving cost, not a surprise at month’s end.

AWS Microsoft Azure Google Cloud Platform Docker Kubernetes Helm CSS Mistral AI Terraform Pulumi AWS CloudFormation GitHub Actions GitLab CI/CD Jenkins Azure DevOps Prometheus Grafana Datadog Go New Relic ELK Stack

Trusted Data.
Traceable Always.

Manual data cleanup is disappearing into automation. What’s left, lineage, governance, and integration your team can actually audit, is where we put senior engineers.

Apache Spark Apache Kafka Apache Airflow dbt Snowflake BigQuery Amazon Redshift Azure Synapse Microsoft Power BI Tableau Looker Apache Superset Salesforce SAP Microsoft Dynamics 365 Oracle

On Call.
Even When You're Not.

Predictive monitoring catches most incidents before an alert fires. When one does reach a person, it’s already been triaged, not sitting in a queue.

Microsoft 365 Google Workspace VMware Citrix Microsoft Defender CrowdStrike SentinelOne Palo Alto Networks Fortinet Okta

Our DevSecOps Services

Seven DevSecOps workstreams that put security where the code is written, not where the release is signed off.

Secure CI/CD pipeline design

DevSecOps starts in the pipeline. Security stages are built into your existing pipelines with defined pass, warn, and fail criteria per stage, signed build artifacts, and separation between who can merge and who can deploy to production. Secure CI/CD means the pipeline itself is a controlled system, since a pipeline with broad credentials is one of the most valuable targets in your estate.

Static analysis and code scanning

SAST is configured for your languages and tuned to your codebase, with results delivered into pull requests where the developer is already working, rather than a separate dashboard nobody opens. Baseline findings on legacy code are ring-fenced,d so new code is held to the standard without stalling every existing project.

Dependency and supply chain security

Software composition analysis across direct and transitive dependencies, a software bill of materials generated per build, and license compliance checked alongside vulnerabilities. Upgrade paths are proposed with the breaking-change risk noted, because a critical finding with no viable upgrade needs a decision rather than an alert.

Secrets detection and management

Pre-commit and pipeline scanning for credentials, tokens, and keys, plus history scanning on existing repositories where secrets are usually already sitting. Detection is paired with a vault-based replacement and a rotation process, since a secret found in git history stays compromised until it is rotated, not when it is deleted.

Container and image security

Base image hardening, registry scanning, admission policies, and runtime configuration checks for your container platform. Images are rebuilt on a schedule rather than only on code changes, so a container left untouched for months is not quietly carrying last year's operating-system vulnerabilities.

Infrastructure as code and policy as code

Terraform, CloudFormation, and Kubernetes manifests are scanned before being applied for public exposure to identify missing encryption, overly permissive roles, and absent logging. Organizational rules are expressed as policy code, so the standard is enforced automatically and consistently rather than depending on which reviewer looked at the change.

Findings, triage, metrics, and developer enablement operations

This is where DevSecOps succeeds or stalls. A triage process ranks findings by exploitability and reachability rather than raw severity, routes each to an owner, and tracks it to closure. Mean time to remediate and false-positive rates are reported, and developers receive training and secure defaults so the same finding class no longer recurs.

The RCV Delivery Model™

One Disciplined Framework. Every Engagement.

01

Diagnose

RCV World reviews your pipelines, repositories, existing scanning coverage, and the findings backlog before proposing gates: the step most vendors skip on the way to a signed order.

02

Design & Capability Match

Gate criteria, severity thresholds, exception process, tool placement, and the triage and ownership model get signed off with your engineering and security leads before any stage starts blocking builds.

03

Mobilize & Deliver

Tooling integrated in run-and-report mode first, tuned against real builds, then switched to blocking once false positives are down, backed by the documentation and runbooks a production pipeline needs.

04

Govern & Optimize

Governance isn’t a status meeting. It’s executive steering, a live risk register, quality gates, and value tracking on every engagement.

05

Transition & Scale

Knowledge transfer, enablement for your developers, and a plan for extending coverage to more teams or running the practice in-house, once it is proven in production.

One Framework, Three Shapes.

Every engagement runs on the RCV World Delivery Model™ underneath. Which shape your DevSecOps engagement takes depends on the problem, not a package RCV World defaults to.

Model Best Fit When What You Get Buyer Proof Artifact

RCV Outcome Delivery Pods

The program has to prove measurable results, such as time to remediate, escaped vulnerabilities, and build pass rates
KPI framing, a product pod, delivery analytics, value reviews, and release telemetry
Product KPI scorecard and release-health dashboard

RCV Platform Accelerator

Many teams need one pipeline template, policy set, and scanning standard built once and adopted across repositories
Platform diagnostic, foundation sprint, golden paths, onboarding, and adoption telemetry
Platform catalog, adoption metrics, golden-path demo

RCV Governance Assurance Model

Secure development evidence must satisfy a security review by a regulator, auditor, or enterprise customer.
Governance handbook, cadence map, RAID log, quality gates, architecture controls, transition pack
Real dashboard pack, escalation matrix, sample exit/transfer pack

Who This Is For

DevSecOps programs rarely fail on tooling. They fail when gates are switched on before tuning, developers drown in findings, and someone quietly adds a bypass.

A good fit if... A better RCV World route if…
Security findings surface late, close to release, when they are most expensive to fix

The pipelines themselves need building or modernizing first; see CI/CD Pipeline Services

Scanning tools are installed, but their findings are ignored or bypassed

The gap is detection and response on running systems rather than in the pipeline; see Managed Cybersecurity Services

An audit, customer security review, or certification requires evidence of secure development

You need a current picture of exposure across the whole estate first; start with Cybersecurity Risk Assessment

Container and Kubernetes workloads need policy enforced at admission, not after deployment

The cluster design and operations are the larger problem; see Kubernetes Consulting

Multiple Industries.
One Secure Delivery Standard.

RCV World delivers DevSecOps services in sectors where a vulnerability reaching production carries regulatory, financial, or safety consequences.

HIPAA and HITRUST-compliant systems, EHR integration, and data privacy from day one.
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KYC/AML tooling, embedded finance, and payment integrations built for regulatory speed.
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Core-banking modernization, regulatory reporting, and wealth management platforms.
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POS, inventory, and commerce platforms that hold up under real peak load.
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ERP, MES, and industrial IoT integration across the entire plant floor.
Read More
EDI, carrier integration, and real-time tracking across the supply chain.
Read More
Grid analytics, asset optimization, and sustainability reporting systems.
Read More
Claims automation, underwriting modernization, and audit-grade policy data.
Read More
Precision agriculture platforms, traceability, and satellite data pipelines.
Read More

Frequently Asked Questions

Straight answers to what product and engineering leaders ask most.

Tools generate findings. DevSecOps is the operating model that determines which findings block a release, who owns each one, how exceptions are granted, and how the same class of issue is prevented from recurring. Most organizations already have scanners producing output nobody acts on, which is why the first step is usually triage and tuning rather than more tooling. The measure of the program is not scan coverage; it is time to remediate, and whether developers fix findings without being chased. Where running systems also need monitoring and response, that sits with Managed Cybersecurity Services rather than here.

Briefly, and only where releases were moving fast because nothing was being checked. Gates are introduced in report-only mode first and tuned against real builds until false positives are low, then switched to blocking mode, so teams do not meet the gate and the noise on the same day. Fast checks, such as secrets detection and dependency scanning, run on every commit and add seconds to the commit time. Slower checks run in parallel stages or on a schedule rather than on the critical path. Over a few months, the net effect is usually faster because late-stage security findings that once delayed no longer appear.

It is triaged and ring-fenced rather than dumped on the team. Findings on existing code are baseline, so new code is held to the agreed standard immediately. At the same time,  let the backlog be ranked by exploitability and reachability and worked through on an agreed schedule. Ranking by reachability matters, since a critical-severity finding in a code path that never executes is less urgent than a medium one on an internet-facing endpoint, and treating them equally is what makes teams stop reading the reports. Each item gets an owner and a date, and accepted risks carry an expiry rather than sitting open forever.

Yes. Secure CI/CD is built into the pipelines you already run, whether that is GitHub Actions, GitLab CI, Azure DevOps, Jenkins, or another platform, and into your existing ticketing, so findings become work items in the system your team already uses. Where scanning tools are already licensed, they are configured and tuned rather than replaced. Where gaps exist, tools are recommended with the cost and maintenance burden named, and licensed to you directly. Nothing is hosted in an RCV World environment, so that the pipeline will remain fully operable for your team afterward.

History scanning first, then rotation, then prevention, in that order. Scanning existing repository history almost always finds credentials, since deleting a secret from the current code leaves it in every prior commit and in every clone. Each one found is treated as compromised and rotated rather than simply removed, with the rotation tracked to completion. Pre-commit hooks and pipeline scanning then prevent new secrets from entering, and a vault or managed secrets service replaces them. Rotation is the part teams skip, and it is the only part that actually closes the exposure.

DevSecOps cost depends on the number of repositories and pipelines in scope, how many teams adopt the standard, the state of current scanning coverage, the size of the existing findings backlog, and any compliance evidence requirements. Adding gates to a handful of pipelines in one platform is a smaller engagement than rolling a standard across dozens of teams with a large backlog and audit obligations. A fixed-scope implementation is quoted as a fixed price; an ongoing program with enablement is priced in the scoping proposal. Scanning tool licenses are held by your vendors and modeled separately. The fastest route to a number is a scoping call.

DevSecOps typically encounters blocking gates in the first set of pipelines 6 to 10 weeks after the Diagnose phase. The sequence is fixed: pipeline and coverage review; gate criteria and exception process; sign-off on tooling integration in report-only mode; tuning against real build; backlog triage and baselining; then blocking is enabled, with the team informed in advance. Rolling the standard across many teams runs longer and is done in waves, with the first team chosen for a codebase where the findings are manageable. Enabling gates before tuning is the single most common way these programs lose developer trust.

You do. Pipeline definitions, policy code, and configuration live in your repositories, scanning runs under your licenses, and findings stay in your ticketing and security tooling. Nothing is routed through an RCV World platform that would have to be untangled later. Policy code and runbooks are treated as deliverables rather than internal notes, since they enable your team to maintain and extend the standard afterward. Developer enablement is built into the engagement for the same reason: a practice that depends on an external team to keep running is not embedded; it is outsourced.

Bring the Finding Nobody Has Fixed

Book a DevSecOps scoping call with an RCV World engineer, not a salesperson. Bring your pipeline platform, your current scanning coverage, and the findings backlog that everyone has stopped reading. The call ends with a plain view of which gates would pay off first, what the backlog would take to clear, and how long tuning should run before anything starts blocking a build.