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Engineering velocity can be a competitive advantage in cybersecurity when it helps teams deliver useful changes and fixes sooner without letting unsafe changes reach production. It is not simply coding faster: secure delivery depends on reducing avoidable delays while building security checks and feedback into the software lifecycle.
What engineering velocity means in cybersecurity
Engineering velocity is how readily a team can move a useful, safe change from an idea to production. That includes remediation, security improvements and product features—not just the amount of code developers write.
Konstantinos Dolkas makes the competitive-advantage case in his September 29, 2026 CIO opinion article, drawing on his own experience. He describes release cycles moving from weeks to days; that is his account, not evidence that every organization will see the same result. The sources do not establish a quantified causal link between increased velocity and improved cybersecurity outcomes.
Why waiting can matter to security
NIST describes DevOps as bringing software development and operations together to shorten cycles, promote agility, and accelerate remediation and feature delivery. In security work, avoidable waits and handoffs can delay a fix or improvement from reaching users.
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But faster delivery is not inherently safer. NIST warns that automated production flows can propagate security risks quickly if problems are not caught and corrected early. Security therefore needs to cover the lifecycle, not appear only at the final release gate.
What secure engineering velocity looks like
NIST describes DevSecOps as integrating security from the outset and across development, build and test automation, artifact packaging and distribution, and release and deployment. That framing helps distinguish productive flow from speed that merely shifts risk downstream.
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Give teams ownership and reduce avoidable handoffs
Dolkas argues that end-to-end service ownership and fewer waits can help teams move changes forward. The practical question is whether the people responsible for a service can act on feedback and coordinate remediation without unnecessary queues between teams.
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Dolkas’s stated preference is for guardrails integrated into ordinary work: “pipelines with security scanning, infrastructure modules that are secure by default and templates that make the compliant path easy to follow.” This is his recommendation, not a universal guarantee. The intent is to make secure choices convenient rather than relying only on late-stage review.
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- FAST & CONVENIENT LOGIN: Plug in your YubiKey 5C NFC via USB and tap it, or tap it against your phone (NFC), to authenticate. No batteries, no internet connection, and no extra fees required
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Place useful checks throughout delivery
Automated checks can provide earlier feedback, but their value depends on whether teams can understand and act on the results. Checks that run too late, produce unclear findings, or fail to stop risky changes may not prevent problems from reaching production. NIST’s lifecycle approach places security across the process rather than treating automation itself as proof of security.
How to compare engineering approaches
When assessing a process, compare how it moves changes and how it manages risk. These criteria synthesize Dolkas’s opinion and NIST’s lifecycle guidance; they are not a scorecard with universal target values.
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- Delivery and waiting time: Look beyond elapsed release time to queues, approvals and handoffs that delay useful work.
- Security coverage: Check whether security activities span development, build and test, artifact handling, and release and deployment.
- Feedback quality and speed: Ask how early teams receive findings, whether the results are actionable, and whether the responsible team can respond.
- Ownership: Identify who is accountable for a service and whether ownership is clear when a security issue requires action.
- Controls before production: Determine how the workflow detects and prevents unsafe changes from being released, and how teams correct problems that are found.
Use risk-based guidance, not a one-size-fits-all blueprint
NIST’s Secure Software Development Framework (SSDF) is intended to help business owners, developers, project managers and leads, and cybersecurity professionals communicate about secure software development practices. It provides a shared framework for deciding how practices fit an organization’s context and risk; it does not establish that a particular velocity target will improve security.
NIST’s National Cybersecurity Center of Excellence (NCCoE) describes a risk-based DevSecOps demonstration aligned with SSDF and built using modern pipelines and commercially available technology. Its March 24, 2026 live-document release includes an Azure-based example. NIST says additional implementations and findings are expected, so treat the material as evolving guidance rather than a final blueprint for every organization.
Useful starting points are the NIST Secure Software Development Framework (SSDF), the NCCoE DevSecOps project and live-document overview, and NIST’s technical introduction to DevSecOps. For the opinion behind the competitive-advantage thesis, see Konstantinos Dolkas’s CIO article.
