In most organisations security is still a gate at the end of the road: a team builds a product for weeks, then runs into a pre-release audit that can push everything back several sprints. For a CISO or Head of Security that is a daily conflict, because the later you catch a vulnerability, the more expensive it is to fix. DevSecOps reverses the order: security stops being an after-the-fact check and becomes a property of the delivery process itself.
In our experience, the hard part is not buying another scanner but weaving controls into the team’s rhythm so they slow no one down. We have delivered in security-sensitive systems and high-assurance domains, including the banking sector, where compliance and data protection are not optional. We bring that competence into delivery teams by filling the roles that are usually missing: DevSecOps engineers, identity specialists and security architects.
Why does security have to be built into the whole delivery lifecycle?
Because threats do not wait for release day. A vulnerable library enters the repository the moment a developer adds the dependency, not the moment of the audit. If the only control is a review at the end, the team spends an entire sprint building on shaky ground, and every fix means reworking code that was already done.
Building security into the whole lifecycle changes the economics of a mistake. A vulnerability caught in a pull request costs a developer a few minutes; the same vulnerability found in production is an incident, a report to the regulator and overtime for the whole team. DevSecOps does not add a stage, it spreads control across many small checkpoints along the way - from commit, through build, to deployment. Security then stops competing with the deadline and starts protecting it.
How do you manage identity and access (IAM) in the delivery lifecycle?
Identity management is the foundation, because most serious incidents start with excessive or compromised access. In practice we watch a few things:
- least privilege for people and for services, not full-access accounts kept “just in case”,
- machine identities (service accounts, workload identity) treated as seriously as human ones,
- short-lived credentials and rotation instead of static keys pasted in permanently,
- central authentication (SSO, MFA) with a clear audit trail of who had access and when.
A well-structured IAM means that even a successful phishing attempt does not open the whole environment to an attacker, only a narrow, time-limited slice of it.
How do you scan dependencies and vulnerabilities before they reach production?
A modern application is largely someone else’s code, so controlling dependencies matters as much as controlling your own. We wire several layers of scanning into the pipeline:
- SCA (Software Composition Analysis) to detect vulnerable open-source libraries,
- SAST for static analysis of your own code against common security flaws,
- DAST to test the running application from an attacker’s perspective,
- container and IaC scanning for known CVEs and misconfiguration.
What matters is not the scanning itself but the thresholds that stop the build on critical findings, plus sane handling of the less urgent ones so the team is not drowned in alert noise.
How do you manage secrets in CI/CD pipelines?
Secrets are where theory most often diverges from practice. Passwords, tokens and API keys get pasted into environment variables, config files, and in the worst case straight into the repository, from where they live in git history forever. Every such secret is a ready-made key for any attacker who reaches the code.
So we move secrets out of the code into a dedicated store (such as Vault or a cloud secrets manager) and expose them to the pipeline only for the duration of a specific job. On top of that we add repository scanning for leaked credentials and automatic rotation, so that even an exposed token loses its value fast. It is an unglamorous layer of DevSecOps, but the credibility of everything else rests on it.
How do you run a security review of CI/CD pipelines?
The pipeline itself is often the most privileged system in the company, because it has access to code, secrets and production. So we treat it as an attack target and check:
- runner and agent permissions and the isolation of builds from one another,
- artifact integrity - signing and verifying what we actually deploy,
- dependency provenance and trusted registries instead of pulling “from anywhere”,
- separation of duties, so one person cannot quietly push a change to production.
This kind of review closes the path attackers increasingly favour: instead of attacking the application, they attack the way it is built.
What is shift-left and how do you build a security culture?
Shift-left means moving security controls as close as possible to the moment code is written - into the IDE, the pull request, the first build. The point is for a developer to learn about a vulnerability while they still remember what they wrote and why, not three weeks later from a separate team.
Tooling, though, is only half the equation. The other half is a culture where security is a shared responsibility, not someone else’s department. We build it in small steps: clear guidelines in pull requests, security champions inside teams, short blameless retrospectives after incidents. Technology catches known mistakes, but people decide whether security is taken seriously or merely ticked off.
Which DevSecOps skills do we provide?
We shape the team around the real gap in the client’s organisation, not around a ready catalogue. Most often we fill these roles:
- a DevSecOps engineer who wires scanning, secrets and security thresholds into CI/CD,
- an IAM / identity specialist who puts human and service access in order,
- a security architect who sets the threat model and standards for teams,
- a platform / cloud engineer who hardens runtime environments and infrastructure as code.
This setup reinforces an existing team exactly where it lacks hands or know-how, without standing up a separate security department from scratch.
Custom software or team augmentation - which fits DevSecOps?
It depends on whether you are building something new or hardening an existing process. For a new product, a custom software project works well, with security as a requirement from the first day of architecture. For a mature delivery lifecycle you more often need team augmentation or a dedicated team - people who step into your pipelines and raise their resilience without reshuffling the whole organisation. We laid out the differences between these approaches in our article on IT engagement models.
How do we do it at RITS?
We do it as a nearshore partner from Poland, with real experience in security-sensitive systems:
- we bring competence built, among others, in projects for the banking sector, where data protection and compliance are a hard constraint,
- we verify skills before the start and shape the team around the specific gap, not “just in case”,
- we weave security through the whole lifecycle - from IAM and secrets to scanning and pipeline review,
- we work in a close time zone, so our specialists join your code reviews and working rhythm without a long ramp-up.
Most often we do this as team augmentation, when a DevSecOps gap needs closing fast, or as custom software, when we design security in from the ground up.
Where do you start with DevSecOps?
Start by mapping a single, most important flow: from commit to production, marking where there is no control today. That reveals the cheapest gaps to close - usually secrets in the code and missing dependency scanning - and points to the roles you need first. Do not do everything at once; build in one control, confirm it does not slow the team down, and add the next.
Want to build DevSecOps into your delivery lifecycle? Let’s talk - we’ll match specialists and a sequence of steps to your process.