Putting the burden of creating secure

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To draw a parallel, writing code is functionally identical to writing prose—the maxims that apply to the former also apply to the latter. As a telling example, author Janet Halstrand says, “Bad writing comes before good writing. It’s an infallible rule, so don’t waste time trying to avoid it. (It only slows you down.) Anything that gets written down can be changed. The key is to get started and then move on.”

code on developers from the start is as foolish as putting the burden of writing good prose on writers in the first draft. Just as bad writing can be fixed by reworking and editing, insecure code can be made secure by testing, reworking, and reviewing — software development, like writing, is an iterative process. This is best achieved by testing code early in development (called “shift left”), which finds vulnerabilities and reduces the burden on programmers by fixing them early rather than requiring a major rewrite or major redesign near the end of the project. Likewise, limiting the scope of new projects to a target set of features — the so-called minimum viable product — helps reduce surprises after delivery.

Shift Left requires albania mobile database and motivation
Writing code is just one aspect of application development, yet it is the primary criterion by which individual programmers are judged today. Effective shift left requires attention to personnel and workload management. Adding security testing responsibilities without allocating time to them will result in minimal effort. Developers will perceive it as “not their job” if there is no benefit or credit for completing this (or almost any) task.

Moving security “left” is not just about shifting responsibilities from operations to development teams. It’s about enabling developers to write secure code without disrupting their workflow. Investing in automation, including proven common platforms that support “golden paths,” not only helps build a culture of security, but also reduces duplication of effort in application lifecycle management.