Key Takeaways
- Position matters more than tooling. Security tools bolted on at the end create alerts nobody owns. The same tools inside the pipeline give developers feedback within minutes.
- The gap between checks is where the risk sits. A yearly pen test sees one version of a system that may change 50 times before the next test.
- Earlier is cheaper. A flaw caught at commit is generally quicker and less disruptive to fix. The same flaw found in production can become an incident.
- Early, automated checks support confident delivery. Fewer surprises reach production, supporting more frequent and predictable releases.
- Start with practical first controls. Secret scanning and dependency checks are simple to add and address common sources of exposure.
- Measure it. Time to fix, coverage, where issues are caught and open critical findings give the board evidence rather than reassurance.
The penetration test report arrived in March. It was thorough, clearly written and uncomfortable to read: a dozen critical and high-risk findings, each with a sensible remediation note.
Seven months on, five of those findings are closed. The rest sit in the backlog, behind the features the business is waiting for. Since the test, your team has shipped dozens of releases, and none of them has been assessed for security. Last month a board member asked a simple question: how secure are we? You gave an answer. You weren’t entirely comfortable with it.
If that feels familiar, the issue probably isn’t effort or budget. It’s that security is being treated as something you buy and check, rather than something you build.
TLDR
Annual penetration tests can’t keep pace with teams that ship every week, and adding more security tools rarely closes the gap. DevSecOps builds automated security checks into every stage of the pipeline, so issues are caught when they’re cheaper to fix and security becomes measurable. You can start small, with secret scanning and dependency checks, and build up from there.
Why more tools haven’t made you more secure
The usual response to feeling exposed is to buy something. A vulnerability scanner. A firewall upgrade. An endpoint agent on every laptop. Each of these is a reasonable purchase, and each does something useful.
The trouble is where they sit. Tools bought this way tend to be bolted on at the end of the process, owned by a separate team (or by nobody in particular), and configured once. They generate alerts that pile up faster than anyone can triage them. Security turns into a gate at the end of delivery: a review that happens after the code is written, when changes are slow and expensive. Developers experience it as friction, and friction gets routed around.
Consider a common example. A scanner flags an outdated library in a customer-facing application. The finding lands in a security dashboard the development team rarely opens. Weeks later it surfaces in a monthly report, by which time the developer who added the library has moved on to other work and needs to rebuild the context before fixing it. The tool did its job. The process around it didn’t.
The result is a familiar pattern: more spend, more dashboards, roughly the same exposure. The tools aren’t the problem. Their position in the process is.
The gap between checks is where the exposure lives
An annual penetration test is a photograph of one day. If your team deploys every week, there may be 50 versions of your system between one test and the next, and the test has seen exactly one of them.
Attackers don’t work to an annual cycle. Verizon’s 2026 Data Breach Investigations Report found that exploiting vulnerabilities has become the most common way into organisations, behind close to a third of breaches and overtaking stolen credentials for the first time in nearly two decades. The same report found that only around a quarter of critical, known-exploited vulnerabilities were fully fixed during 2025. Vulnerabilities are being found and used faster, and they’re staying open longer.
There’s a cost argument too. A flaw caught when code is committed is generally quicker and less disruptive to fix, because the developer who wrote it still has the logic fresh in mind. The same flaw found in production is an incident: emergency patches, rollbacks, late nights, and sometimes a conversation with customers or a regulator. Nothing about the flaw changed. Only the moment you found it did.
What DevSecOps looks like in practice
DevSecOps means making security checks part of how software is written, tested and deployed, so they run automatically every time something changes. You’ll also hear it described as shifting security left: moving it earlier in the process, where problems are cheaper and faster to fix.
In practice, CI/CD security comes down to automated checks at four points in the pipeline.
When code is committed. Automated checks look for secrets that shouldn’t be there, such as passwords and API keys, and compare the open-source libraries your code depends on against databases of known vulnerabilities. The developer hears about a problem within minutes, not months.
When code is built. Code analysis looks for common insecure patterns, like unsafe handling of user input, before anything reaches a test environment.
When infrastructure is deployed. If your infrastructure is defined as code, it can be checked against policy before it goes live: no storage open to the public internet, no firewall rules wider than they need to be, encryption switched on. Every environment is built the same way, so the gaps that come from manual configuration disappear.
In production. A web application firewall filters malicious traffic, monitoring identifies unusual behaviour, and independent penetration testing is performed at least annually and following significant changes.
None of these checks is exotic on its own. What changes is that they’re connected, automatic and owned. Security stops being an event and becomes part of how work gets done.
Speed and safety aren’t in tension
The most common objection to all this is that security gates slow teams down. Late gates do. Early, automated gates tend to do the opposite.
When feedback arrives while the code is fresh, fixes are small. When fewer surprises reach the release, releases get calmer, and the emergency weekend patch becomes rare rather than routine. Early feedback can support more frequent and predictable releases, because teams trust what they’re shipping.
It also changes who owns security. Developers own writing secure code, with tooling that helps them do it. The security function designs the guardrails and focuses on the judgement calls automation can’t make. Operations keeps the infrastructure hardened and consistent. Security becomes everyone’s job in a practical sense, not a slogan on a poster.
And the board’s question becomes answerable. Instead of a general reassurance, you can show what gets checked, when, how often issues are caught, and how quickly they’re fixed.
“We treat security as a set of engineering guardrails, not as a final review. If the pipeline prevents an unsafe configuration from being deployed, people do not have to remember every rule manually. That allows security specialists to focus on higher-risk decisions instead of repeatedly chasing the same configuration issues.” – Rohan Janse van Vuuren, Head of Infrastructure, Warp Development
Where to start without rebuilding everything
DevSecOps doesn’t need a big-bang programme. Teams that get it right usually build it up in steps.
- Review the pipeline you already have. Map how code moves from a developer’s machine to production, and note where security checks exist today and where there are none.
- Close the highest-risk gaps first. Secret scanning and dependency checks are often the quickest to add, and they’re practical first controls that address common sources of exposure.
- Decide what blocks and what warns. Not every finding should stop a release. Critical issues should; lower-severity ones can raise a ticket. Get this balance wrong in either direction and the checks either get bypassed or ignored.
- Tune before you extend. New checks produce some noise at first. Tuning out false positives is part of the work, not a sign it’s failing. Once the team trusts the results, extend the checks to infrastructure and production.
- Keep the pen test, but change its job. Periodic testing is still valuable. Its role shifts from being your main line of defence to independently confirming that the pipeline is doing what it should.
This is a cultural change as much as a technical one, and it takes time to embed. The payoff is a security posture that improves with every release instead of degrading between audits.
How you’ll know it’s working
One of the quieter benefits of building security into the pipeline is that it becomes measurable. Instead of a single pass or fail once a year, you get a running picture you can track month by month. A handful of measures tell you most of what you need to know.
Time to fix. How long does it take from a vulnerability being found to it being resolved? Time to fix is one of the most important measures of vulnerability exposure, and it should come down steadily as checks move earlier.
Coverage. What share of your releases pass through automated security checks? The goal is all of them, including the urgent hotfix that tends to skip the queue.
Where issues are caught. Track whether problems are found at commit, at build, at deployment or in production. A healthy pipeline should move an increasing proportion of findings into earlier delivery stages, so production findings become the exception.
Open critical findings. Is the backlog of serious issues shrinking, holding or growing? This is the trend line a board understands immediately.
These measures do two jobs. They show the engineering team where to focus next, and they give leadership a factual answer to the question that started this article. When someone asks how secure you are, you can point to evidence rather than reassurance.
Building security in from the start
Security awareness usually means reminders about passwords and phishing. Those matter. But the bigger opportunity for engineering teams is structural: security by design, where security is part of how every change is built and shipped.
Warp Development works on both sides of that line. DevSecOps and infrastructure specialists step in at each stage, from designing CI/CD pipelines and defining infrastructure as code to configuring web application firewalls and running the environment day to day. Because they all work within one team, what’s learned at one stage carries through to the next, so pen test findings get fixed rather than filed. And because Warp also builds production software it understands the application-layer threats that pure infrastructure providers miss, and the operational realities that pure development shops overlook.
If you’d like to know where your own pipeline stands, a good first step is a DevSecOps pipeline review. We’ll assess how code moves from commit to production, show you where security checks belong, and give you a prioritised plan to embed them without slowing your team down.
Book a DevSecOps pipeline review and see exactly where security fits into the way your team already works.
