Insights from experts shaping secure development

尽管编码问题可能是问题的一部分，但业务逻辑错误通常是由首次创建应用程序时的设计缺陷或错误的逻辑假设造成的。

在网络安全领域，我们通常就像猎人一样。我们的眼睛紧紧地注视着地平线，正在寻找下一个突破漏洞。但是，这种前瞻性的关注可能会产生令人惊讶的效果，削弱我们的整体安全意识。

网站和应用程序通常允许用户使用电子邮件通过应用程序发送反馈和其他各种信息。而且大多数人甚至没有从潜在的安全风险的角度来考虑这个问题。

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.

An alleged nation-state attacker used Claude Code and a range of tools in the developer ecosystem, namely Model Context Protocol (MCP) systems, to almost autonomously target specific companies with benign open-source hacking tools at scale. Of the over thirty attacks, several were successful, and proved that AI agents could indeed execute large-scale, malicious tasks with little to no human intervention. Maybe it’s time we went a little slower, stopped to reflect on what is at stake here, and how best to defend ourselves.

AI is now a key piece of modern software development. More than four out of five developers use AI coding tools daily or weekly – with many relying on multiple tools in parallel. Teams must understand where automation ends, and where accountability begins.

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.”

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.