Insights from experts shaping secure development

저는 양쪽 입장을 견지해 왔기 때문에 보안 모범 사례를 유지하는 데 있어 개발팀과 AppSec 전문가 간에 발생할 수 있는 긴장감을 너무나 잘 알고 있습니다.하지만 더 나은 접근 방식이 있습니다.

웹 사이트를 운영하거나 직원들이 컴퓨터 리소스에 원격으로 액세스할 수 있도록 하는 조직, 즉 거의 모든 사람이 직면하는 가장 일반적인 문제 중 하나를 다루겠습니다.네, 아마도 우리가 인증에 대해 이야기할 것이라고 짐작하셨을 것입니다.

응용 프로그램에 대한 자동화 관리 관리가 불가능한 경우 공격자는 일치하는 암호를 찾을 수 있습니다. 이를 이해하는 방법은 다음과 같습니다.

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.

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.

Government bodies are trying to develop rules and regulations for safe AI use, but enterprises can't afford to wait. They need to address the risks now.

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.