Insights from experts shaping secure development

안전하지 않은 코드는 기업에 수백만 달러의 비용을 초래합니다. 그렇다면 보안 코딩 관행을 채택하는 데 방해가 되는 것은 무엇일까요?거의 모든 것을 소프트웨어에 의존하는 세상에서는 코드의 보안을 보장하는 것이 매우 중요합니다.브랜드 평판과 재정적 생존 가능성은 여기에 달려 있습니다.그렇긴 하지만, 보안 코딩에 대한 우려는 많지만 완전하고 효과적인 채택에는 많은 장벽이 있습니다.그 어느 때보다 새로운 작업 방식이 필요합니다.

지난 몇 년 동안 네트워크 보안, 테라바이트에 달하는 민감한 고객 데이터, 값을 매길 수 없는 브랜드 평판 등 많은 것들이 시장 출시 속도의 제단에서 희생되었습니다.

사이버 보안 업계에서 크리스마스를 망칠 만한 무언가가 있었다면 이는 엄청난 데이터 유출로 미국 정부에 영향을 미치는 사상 최대 규모의 사이버 스파이 사건이 될 것으로 예상됩니다.

Kamer van Koophandel shares how it embedded secure coding into everyday development through role-based certifications, Trust Score benchmarking, and a culture of shared security ownership.

See how Paysafe's partnership with Secure Code Warrior led to a 45% boost in developer productivity and a major reduction in code vulnerabilities.

DigitalOcean's use of Secure Code Warrior training has significantly reduced security debt, allowing teams to focus more on innovation and productivity. The improved security has strengthened their product quality and competitive edge. Looking ahead, the SCW Trust Score will help them further enhance security practices and continue driving innovation.

DEVOPSdigest invited experts across the industry — consultants, analysts and vendors — to comment on how AI can support the software development life cycle (SDLC). Part 3 of this series covers advantages gained by leveraging AI tools in software development.

CISOs need an AI visibility and KPI plan that supports a “just right” balance to enable optimal security and productivity outcomes.

Whether teams opt for on-the-job collaborative training opportunities or interactive, agile learning sessions, they would substantially benefit from standardized developer benchmarking for success. Such benchmarking could lead to a ‘trust score’ that, much like rewards programs, would provide incentives to developers for their security achievements and offer clear pathways for improvement.

See how 16 leading AI models actually code, scored across 11 real-world frameworks and 1,760 codebases — the framework matters as much as the model.

AI risk doesn't stop at engineering. Get the one-pager on Citizen AI — build AI literacy and safe habits across your whole workforce.

From AI autocomplete to autonomous agents—explore how software development is evolving and what it means for security, governance, and your team.