DevSecOps Services

DevSecOps extends DevOps by treating security as a shared, automated responsibility of the delivery team instead of a separate department that reviews work late. A typical engagement assesses your current release process, adds automated checks, builds shared dashboards and trains engineers to read and fix findings.

Teams usually call for help when:

• A customer questionnaire or audit asks how code is reviewed and scanned, and the honest answer is "manually, sometimes".
• Penetration tests keep finding the same classes of flaw after each release.
• Releases are frequent enough that a manual security gate has become a bottleneck.
• Secrets such as API keys have been found in repositories or build logs.

The delivery metrics published by DORA (opens in a new tab) are a useful companion: security checks should be tuned so they do not quietly destroy release speed or stability.

The most useful way to understand DevSecOps services is to follow one code change from a developer’s laptop to production and see which control applies at each step.

Start with fewer checks that fail builds only on serious, confirmed problems. A pipeline that blocks on every low-severity warning teaches developers to ignore it. Add gates gradually as the noise is tuned down.

Mature automation runs on your existing platform, whether that is GitHub Actions (opens in a new tab) or another CI system. If you are still building that foundation, see our CI/CD implementation services.

Most modern applications are mostly third-party code, so what you import matters as much as what you write. Good DevSecOps services therefore track every dependency, produce a software bill of materials, pin versions and update them on a schedule instead of in a panic.

The NIST Secure Software Development Framework (opens in a new tab) groups these practices into preparing the organization, protecting the software, producing well-secured software and responding to vulnerabilities. It is vendor-neutral and works well as a gap-assessment checklist.

Secrets need their own discipline: keep them in a managed vault, issue short-lived credentials where possible, rotate on a schedule, and scan history for anything already leaked. Treat a leaked secret as compromised even after deleting the commit. The Cloud Security Alliance guidance (opens in a new tab) adds cloud-specific advice on identity, key management and shared responsibility.

AI features in security tooling are most useful for triage: grouping duplicate findings, suggesting a likely fix for a flagged line, or explaining a vulnerability in plain language. They reduce reading time. They do not replace a human decision about whether a risk is acceptable. Findings that need deeper manual probing can be handed to penetration testing.

Be equally careful in the other direction. Code produced by assistants should pass the same scanners and peer review as any other code, and you should decide in advance which repositories and secrets an AI tool may see.

Auditors ask for proof that controls operate consistently, not just that they exist. A pipeline naturally records who approved a change, which scans ran and what was deployed. Kept in an immutable store, those records become evidence for frameworks such as SOC 2 or ISO 27001.

The SOC 2 Trust Services Criteria (opens in a new tab) include change management and system operations, which map directly to review gates and deployment logs. Policy-as-code, where rules such as "no public storage" are written as testable code, turns a yearly checklist into a continuous one.

• Fintech: a payments team adds dependency scanning and signed releases so each production change has an approval trail for auditors.
• Healthcare software: a patient-portal vendor scans container images and blocks releases containing known-exploited libraries before they reach hospital customers.
• E-commerce: a retailer moves card-related secrets into a vault and rotates them automatically, removing keys from build scripts.
• SaaS: a startup answering enterprise security questionnaires produces pipeline reports instead of assembling screenshots by hand.

These are illustrative examples, not Kramate client results.

Your pipeline should reflect the rules attached to the data and customers you serve. Confirm specifics with legal counsel.

• USA: buyers frequently request SOC 2 evidence; healthcare work touches HIPAA, and government suppliers often follow CISA cloud security guidance (opens in a new tab).
• UK: UK GDPR expects appropriate technical measures, and many public-sector buyers ask for Cyber Essentials alignment.
• Australia: the Privacy Act 1988 and Australian government cyber security guidance shape expectations, especially for regulated sectors.
• Singapore: the Personal Data Protection Act applies, and financial institutions face technology risk guidelines from the Monetary Authority of Singapore.

Ask where build logs and scan results are stored, since they can contain personal data or secrets.

The largest cost is rarely the scanning tools. It is the engineering time to tune them, fix the backlog they reveal, and change habits. Main drivers include:

• Number of repositories, languages and deployment targets.
• Current pipeline maturity: building one from scratch costs more than adding gates to a working one.
• Licenses for commercial scanners versus open-source tools you maintain yourself.
• Size of the existing vulnerability backlog.
• Compliance targets and the evidence you must retain.
• Training and ongoing tuning after go-live.

A fixed-price assessment followed by a dedicated team for rollout is a common pattern. Pay for a pilot on one or two critical services first, measure the fix rate, then expand.

1. Tool-neutral advice. They should fit your existing CI platform and cloud, not insist on theirs.
2. A plan for developer experience, including how false positives are handled.
3. Clear definitions of severity and who owns each fix and deadline.
4. Evidence output that your auditor can actually read.
5. Knowledge transfer, so your team can run the pipeline without them.
6. Their own secure practices, because they will touch your repositories and secrets.

You get a dedicated project manager, daily progress notes in Slack or Teams, and a review of working changes at the close of every two-week round. We sign an NDA before detailed discussions, and everything we build, including pipeline code and policies, belongs to you. Our team can lead the rollout or work inside yours, alongside our cloud security services where the platform needs hardening too. See how our delivery process runs for the full sequence.

• DORA software delivery research (opens in a new tab)DORA (Google Cloud)
• GitHub Actions documentation (opens in a new tab)GitHub
• Secure Software Development Framework (SSDF) (opens in a new tab)NIST
• SOC 2 - Trust Services Criteria (opens in a new tab)AICPA
• AWS Shared Responsibility Model (opens in a new tab)Amazon Web Services
• CISA Cloud Security Technical Reference Architecture (opens in a new tab)CISA
• CSA Security Guidance for Cloud Computing (opens in a new tab)Cloud Security Alliance