DevSecOps & DataSecOps
Security built into pipelines and protection of sensitive data — without slowing releases
Too often, security is applied only "downstream," as a gate, instead of being built into development. It slows releases or, worse, arrives when the problem is already in production. We build security controls — vulnerability analysis, data encryption — directly into CI/CD pipelines. Our shift-left approach protects code and sensitive data without holding back delivery.
The service in brief
- Service
- Security built into CI/CD pipelines (DevSecOps) and protection of sensitive data (DataSecOps).
- When you need it
- Security is applied only downstream, releases suffer, and sensitive data remains exposed.
- R.O.C.E. phase
- Control: the third phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
- Scope
- CI/CD pipelines, code, sensitive data, vulnerabilities, encryption, and masking.
- Approach
- Shift-left security: automated controls upstream, so that delivery does not slow down.
- Distinct from
- Observability (operational visibility) and Data Governance & Data Quality (catalog, lineage, quality).
When security arrives too late
The service fits when security is treated as a final hurdle, not as an integral part of development and data management.
Security in the workflow
Security assessment
The entry point: we take a snapshot of the security of your pipelines, code, and data, and set the priorities for action.
Security in CI/CD (DevSecOps)
We build security controls into development and release pipelines, in an automated and continuous way.
Data protection (DataSecOps)
We extend security to the data itself: protection of sensitive information and control over who accesses it, and how.
Vulnerabilities, encryption, and masking
Vulnerability analysis, data encryption, and masking of confidential information, where and when they are needed.
Security upstream, not downstream
With the shift-left approach, security becomes part of development instead of blocking it at the end.
Moving controls upstream, automated in the pipelines, means finding problems when they are cheap to fix — not in production. It also protects code and sensitive data without turning security into a brake on delivery.
Success stories
Miriade insights on application security, source code protection, and data access control.
Database access auditing
Always know who accesses your databases and what they do: how to implement access monitoring and auditing.
Learn more ArticleOptimizing application security
How to build security into the software lifecycle, from the decision-maker's perspective.
Learn more ArticleSource code protection
Fundamentals and methods for protecting code across the entire development lifecycle.
Learn moreThe technologies we use
Some of the technologies and platforms we work with on this service.
The tools of governance
Shift-left security is one of the pillars of control in this area, alongside observability, AI governance, and data governance.
Observability, DataOps & AIOps
End-to-end visibility, predictive AIOps, and data flow automation.
ControlAI Platform Governance & Control
Audits, rules, and control over AI model decisions, bias, and consumption.
DevSecOps & DataSecOps
Shift-left security in pipelines and protection of sensitive data.
You are hereData Governance & Data Quality
Data Catalog, Data Lineage, and Data Masking for reliable data.
ControlSRE & Continuous Platform Support
Continuous management of business-critical platforms based on SRE principles.
Frequently asked questions
What does "shift-left" mean?
Moving security controls upstream, into development, instead of applying them only downstream as a gate. Problems surface early, when they cost less to fix.
Does it slow down releases?
No, it is designed not to. Controls are automated in the pipelines, not manual steps at the end of the process.
What is the difference between DevSecOps and DataSecOps?
DevSecOps brings security into pipelines and code. DataSecOps extends it to sensitive data, with protection and access control.
Does it include protection of sensitive data?
Yes: encryption, masking, and access control to protect confidential information.
How is it different from Data Governance & Data Quality?
That service governs the catalog, lineage, and quality of data. This one protects the data and secures the development lifecycle. The two complement each other.
How does it start?
With a security assessment that takes a snapshot of your pipelines, code, and data and sets the priorities for action.
Do you want security in the flow, not after it?
Tell us how your pipelines are built today and which sensitive data you need to protect. We start with a security assessment and build the controls in upstream, without slowing releases.
Security in the flow, not after it
Tell us how your pipelines are built today and which sensitive data you need to protect. We start with an assessment and build the controls in upstream.
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