Static analysis in CI — SAST on every pull request, with findings surfaced as review comments where the developer already is rather than in a report nobody opens.
Dependency and container scanning — third-party libraries and base images checked continuously against advisory feeds, because most of the code you ship was written by someone else.
Dynamic testing — DAST against a running staging deployment, catching the authentication, session and configuration flaws that source-level analysis cannot see.
Secrets management — credentials issued from a central store with rotation and audit trails, and pre-commit and history scanning to keep them out of the repository in the first place.
Policy as code — security and infrastructure rules expressed as executable policy, so a non-compliant change fails a build instead of being caught in review — or not at all.
Evidence collection — scan results, approvals and deployment records retained automatically, which is what turns an audit from an archaeology project into a query.
Application security services put SAST on every pull request and DAST against a running staging deployment, so the two classes of defect that source analysis and runtime analysis each miss are both covered. Security testing services here are continuous rather than annual: a penetration test is a snapshot, and the code changed the week after it was written. Findings arrive as review comments in the pull request, which is the only place a developer will act on them cheaply.
Vulnerability management services cover the whole lifecycle rather than the scan: deduplication across tools, severity triage against your actual exposure, an owner per finding and an agreed remediation window. Secure software development means the conventions that prevent whole classes of defect — parameterised queries, an authorisation helper that must wrap every handler, output encoding by default — enforced by project-specific rules rather than by review discipline alone.
CI/CD security services treat the pipeline as production infrastructure, because it holds credentials to everything. A secure CI/CD pipeline means scoped, short-lived runner credentials, pinned third-party actions, signed artefacts and a build that cannot be triggered into production from an unreviewed branch. DevSecOps automation means those gates are executable, and security automation services mean nobody has to remember to run them.
Cloud security services cover the configuration layer where most real incidents begin: over-broad IAM, public storage, unencrypted volumes, security groups opened for a debugging session two years ago. Cloud DevSecOps scans infrastructure as code before it is applied, so a misconfiguration fails a plan instead of becoming an exposure — and re-scans what is deployed, because drift and newly disclosed advisories both happen after merge.
DevSecOps consulting is the pipeline review: which controls are missing, and which existing gates are being routinely bypassed. DevSecOps implementation is the staged rollout — warn-only first, then thresholds. Secure DevOps services and DevSecOps integration connect scanning to the ticketing and identity systems you already run, and DevSecOps support services keep rules tuned as the codebase moves. DevSecOps engineering services mean our engineers work inside your pipeline definitions rather than handing over a report, and the real test of a DevSecOps company is whether its rules survive contact with your codebase. DevSecOps solutions that are never tuned become noise, and noise is indistinguishable from no control at all.
Static analysis whose rules are readable, which matters more than it sounds — a rule the team can read is a rule the team will tune instead of mute. Beyond the community rulesets we write project-specific rules to enforce your own conventions: the authorisation helper that must wrap a handler, the raw SQL that must never appear.
One scanner across container images, filesystems, infrastructure-as-code and dependency manifests, which keeps the CI configuration simple. It runs on every build and again on a schedule against what is already deployed, because a CVE disclosed after your last release still applies to the image running in production.
Dynamic scanning against a live staging deployment, driven from CI with an authenticated session so it reaches the application behind the login rather than testing the marketing page. Baseline scans run on every deploy; deeper active scans run on a schedule against a target that is safe to attack.
Central secrets management with dynamic, short-lived database and cloud credentials, so an application requests access at runtime instead of carrying a long-lived password in an environment variable. Rotation becomes routine rather than a project, and every issuance is logged — which is exactly the evidence an ISO 27001 or SOC 2 auditor asks for.
A short pipeline review establishes where controls are missing and, just as importantly, where existing gates are being routinely bypassed. Scanning goes in on a warn-only basis first, so the team can clear the existing backlog before anything blocks a merge; gates are then tightened stage by stage with agreed severity thresholds. Nothing is bypassable without a recorded exception.
Teams who have been handed a penetration-test report, a client security questionnaire, or a tender clause about secure development, and have realised the answer cannot be produced retrospectively. It is also the right engagement where controls formally exist but are routinely bypassed — a scanner nobody reads, a gate everyone knows how to skip. We start with a pipeline review precisely to find where that is happening, because a control with a documented exception path is worth more than one that is quietly ignored.
Security stops being the review that happens at the end and starts being a property of the pipeline. The commercial argument is straightforward: a vulnerability caught by a pull-request check costs a developer twenty minutes, and the same vulnerability found in a client's penetration test costs a release cycle and a difficult conversation.
The clearest demonstration of secure software development here is a product we run ourselves. RelayZap handles other organisations' mail: it is envelope-encrypted at rest, multi-tenant with enforced isolation between orgs, and self-hosted in Docker so credentials never leave the client's infrastructure — decisions made at design time, not retrofitted after a questionnaire. Niyantā shows the governance half: maker-checker controls on financial approval and automated audit trails, which is the same evidence-by-default principle applied to a business process rather than a pipeline.
A penetration test measures one build on one day. DevSecOps services change the process that produced it — application security services running on every pull request, vulnerability management services with owners and windows, and a secure CI/CD pipeline that will not deploy around them. Most clients need both; only one of them compounds.
Not if it is staged. DevSecOps implementation starts warn-only so the existing backlog can be cleared without blocking anyone, then gates tighten at agreed severity thresholds. Scans run in parallel with the rest of the build, and nothing is bypassable without a recorded exception — which is a faster path than an unrecorded one.
Both. Cloud DevSecOps scans infrastructure as code before it is applied and re-scans what is already deployed on a schedule, because configuration drifts and advisories are published after your last release. The first pass on an existing estate usually finds IAM breadth and forgotten open ports.
It produces most of it as a by-product: scan results, approvals, deployment records and secret-issuance logs retained automatically rather than reconstructed. Pairing this with compliance services is the usual route — the certificate itself is issued by an accredited body, never by us.
Tell us what you are running now and what has to change. We will come back with a written assessment, not a brochure.