DevSecOps is the practice of building security directly into the software delivery lifecycle, wiring automated checks - SAST, DAST, SCA, IaC and container scanning, and secrets detection - into the CI/CD pipeline so vulnerabilities are caught at commit and build time rather than after release. CyberXplore takes a senior-led, manual approach: our OSCP- and CREST-certified engineers design and tune the right security gates for your stack, triage tool output to kill false positives, and pair pipeline automation with hands-on review so the controls actually catch real issues. The result is a measurable shift-left program that reduces mean-time-to-remediate without turning your build into a wall of noise.
Most vulnerabilities are cheapest to fix at the moment they are written - catching a flaw at commit or pull-request time costs a fraction of remediating it in production after a breach.
Modern apps are mostly assembled from open-source dependencies, base images, and IaC; without SCA and container scanning, a single vulnerable transitive package or unpatched image can expose your whole platform.
Hard-coded secrets and leaked API keys are a leading cause of cloud compromise - automated secrets detection in the pipeline and git history stops credentials from ever reaching a public repo.
Auditors and enterprise customers increasingly expect evidence of secure SDLC practices and pipeline controls for SOC 2, ISO 27001, and supply-chain frameworks like SLSA.
Aligned with industry standards: OWASP DevSecOps Guideline · OWASP SAMM · NIST SSDF (SP 800-218) · SLSA · CIS Benchmarks
Our methodology
01
Pipeline & SDLC Assessment
We map your repositories, branching model, build pipelines, registries, and deployment targets, then benchmark your current controls against a secure SDLC reference to find the highest-impact gaps.
02
Tooling Selection & Integration
We select and wire in the right SAST, DAST, SCA, IaC, container, and secrets-scanning tools for your languages and platforms - integrating with GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or your existing orchestrator.
03
Tuning & Triage
We baseline findings, suppress false positives, and calibrate rule sets so developers see accurate, actionable results - the difference between a program engineers adopt and one they route around.
04
Security Gates & Policy-as-Code
We define risk-based gates and break-build thresholds (for example, fail on new high/critical CVEs or detected secrets) using policy-as-code, with sensible warn-only modes to roll out without blocking delivery on day one.
05
Shift-Left Enablement
We add pre-commit hooks, IDE plugins, and pull-request feedback so issues surface earlier, and we coach your developers and platform team on triaging and fixing what the pipeline reports.
06
Continuous Improvement & Metrics
We establish dashboards and KPIs - mean-time-to-remediate, escaped-defect rate, gate pass rates - and iterate on coverage and thresholds as your codebase and threat model evolve.
Container and image scanning across Dockerfiles, base images, and registries
Secrets detection in code, commit history, and pipeline configuration
Security gates, break-build policies, and policy-as-code enforcement
Pre-commit hooks, IDE/PR feedback, and shift-left developer workflows
SBOM generation and software supply-chain integrity (signing, provenance)
What you get
Secure SDLC and pipeline maturity assessment with prioritized gap analysis
Working tool integrations committed to your pipelines with documented configuration
Tuned rule sets and a triaged baseline that minimizes false positives
Security gate and policy-as-code definitions with documented break-build thresholds
Developer enablement guide covering triage, remediation, and local scanning
Metrics dashboard and KPIs for ongoing measurement of the program
Roadmap for phased rollout and continuous coverage expansion
Sample deliverable
What you'll see in your report
Every engagement ends with a clear, prioritized report: severity-rated findings with CVSS scores, affected assets, and remediation status - plus a free retest. The figures below are illustrative.
Cumulative figures across our team's combined engagement history
Shared under NDA · details anonymized
“We scaled from one assessment a year to continuous testing without adding headcount. Findings land in our backlog with reproduction steps our developers can act on the same day.”
0 criticals at retest
DE
Director of Platform Engineering
Global e-commerce retailer · 1B+ requests / month
Retail / eComm
Certifications held by our testers
OSCP
CRTP
CREST
CEH
eWPTX
ISO 27001
ISO 9001
Frequently asked questions
No - that is exactly what tuning prevents. We start scans in warn-only mode, suppress false positives, and run the heavier checks (like DAST and full SCA) in parallel or on schedule rather than blocking every commit. Gates only break the build on the high-confidence, high-severity issues you choose, so engineers keep shipping.
