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DevSecOps · For DevOps and Engineering teams

Implementation

We integrate security into your CI/CD pipeline end-to-end — SAST, DAST, SCA, container scanning, IaC security, secrets management, and automated gates that run frictionlessly in the developer workflow.

Security that lives in the pipeline, not in spreadsheets

Most DevSecOps programs fail at the same point: the tools exist, but generate more noise than signal. Scanners fire hundreds of findings, developers ignore alerts, gates get disabled when they delay a critical release — and the security team goes back to chasing vulnerabilities via spreadsheets.

Our implementation approach starts from a simple decision: every control must pay its own friction cost. Every scanner installed, every gate created, every policy applied must generate actionable findings in the developer's context — in the IDE, in the PR, in the commit — and get out of the way when there's no real risk.

We work side-by-side with your platform and engineering teams to integrate tools, calibrate rules, automate triage, and build the gates that make sense for your release model. When we leave, the program runs on its own.

How we execute the implementation

Phase 01

Technical Discovery

Mapping of existing pipelines, repositories, CI/CD platforms, container registries, and current release flow. Identification of control insertion points.

Phase 02

Selection & PoC

Evaluation and proof of concept of candidate tools on a pilot product, considering integration, finding quality, total cost, and fit with the current stack.

Phase 03

Integration & Calibration

End-to-end pipeline integration, rule calibration to reduce false positives, baseline configuration, and tuning for the teams' code style.

Phase 04

Gates & Policies

Gate definition by severity, exception policy, triage automation, ticket system integration, and clear remediation SLA definition.

Phase 05

Rollout & Handover

Controlled expansion to all products, team training, operational runbooks, risk dashboards, and complete transition to your internal team.

Controls we integrate

SAST

Static code analysis

Source code vulnerability detection with IDE and PR integration. We calibrate rules to minimize false positives in your teams' code style.

  • IDE + PR comments integration
  • Custom rules & suppressions
  • Legacy findings baseline
  • SLA by severity
DAST

Dynamic analysis

Testing against running applications, with authenticated coverage, REST/GraphQL API support, and pipeline integration for fail-fast in pre-production environments.

  • Authenticated coverage
  • REST/GraphQL API scanning
  • QA & staging integration
  • Regression detection
SCA

Software composition

Dependency inventory, SBOM generation, license analysis, and vulnerability prioritization based on real reachability and exploitability.

  • Automated SBOM per build
  • Reachability analysis
  • License analysis
  • Upgrade policy
IaC

Infrastructure as code security

Scanning of Terraform, CloudFormation, Helm, and Kubernetes manifests, with policy-as-code to enforce corporate standards before provisioning.

  • Terraform · CloudFormation · Helm
  • Kubernetes manifests
  • Policy-as-code (OPA / Conftest)
  • Drift detection
Containers

Containers & runtime

Base image scanning, Dockerfile hardening, Kubernetes admission controls, and runtime visibility to detect anomalous behavior.

  • Image scanning & signing
  • Dockerfile hardening
  • Admission controllers
  • Runtime threat detection
Secrets

Secrets management

Secret detection in code and history, centralized vault integration, automated rotation, and static credential removal from pipelines.

  • Pre-commit & Git history
  • Vault / AWS / GCP / Azure
  • Automated rotation
  • Workload identity

Deliverables

  • CI/CD pipeline with SAST, DAST, SCA, IaC, container scanning, and secrets detection integrated and calibrated
  • Security gates by severity, with exception policy and automated triage flow
  • Automated SBOM per build, with dependency and license inventory
  • Integration with ticket system (Jira, Linear, GitHub Issues) and risk dashboards per product
  • Operational runbooks, reusable configuration standards, and templates per language/stack
  • Technical training for platform, AppSec, and development teams, with complete handover
6
control classes integrated
<5%
false positive target post-tuning
8–16
weeks to operational pipeline
100%
product coverage at rollout

Pipelines that protect without blocking releases

Let's discuss your current stack, friction points, and design the shortest path to a CI/CD pipeline with native security.

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