Insights from experts shaping secure development

セキュアコーディングについて学ぶ場合、開発者の主な動機は何か。また、それらを活用して成功するアプリケーションセキュリティプログラムを設計および実装するにはどうすればよいか。

サイバー脅威の数が増え続ける中、組織はセキュリティ、実用性、スピードの間で日々トレードオフを行っており、その過程でリスクにさらされています。

サイバー脅威が増え続けている世界で、コーダーはステップアップしていますか？セキュアコーディングの人的要素、つまり最も重要な開発者が、私たちのコネクテッドワールドのセキュリティ保護において果たすべき役割を果たす準備はできていますか？この質問に答えるために、Secure Code WarriorがEvans Data Corp. と共同で実施した、安全なコーディング、安全なコードプラクティス、およびセキュリティ運用に対する開発者の態度に関する最近の調査から得られた洞察を見てみましょう。

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.

Secure code should be grounded more in concepts like secure by default and secure by design than by “spot the vuln” thinking. Matias Madou shares his experience in secure coding training and the importance of teaching critical thinking. He also discusses why critical thinking is so closely related to threat modeling and how LLMs can be a tool for helping developers get beyond the superficial advice of, “Think like an attacker.”

Organizations are at an inflection point driven by the explosive adoption of AI, which promises significant changes in how businesses operate. That leaves CISOs on unsteady ground. As the gatekeepers of their organization’s data and access, they must ensure the security of the enterprise. However, the prospects of a headlong charge into wide-ranging, and possibly unchecked, use of AI could create a flood of security issues that many CISOs, under their current organizational structures, aren’t equipped to handle.

Security leaders and developers alike are already acutely aware that AI coding assistants and agentic agents can introduce vulnerabilities into the code they generate. A recent study unveiled another critical concern to keep them up at night — LLMs used for making iterative code improvements may introduce new vulnerabilities over time, even when explicitly asked to make code more secure.

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.

Gartner named SCW twice in the 2026 Hype Cycle for Secure Software Engineering. Here's why it matters for AI-driven development.