Insights from experts shaping secure development

#대다수의 웹 사이트는 XML 데이터베이스를 사용하여 사용자 로그인 자격 증명, 고객 정보, 개인 신원 정보 및 기밀 또는 민감한 데이터를 보관하는 것과 같은 중요한 데이터를 보관하므로 xQuery 공격, 면적이 다소 커집니다.

잘못된 보안 구성이란 무엇입니까?가장 많이 발생하는 보안 구성 오류와 취약성 방지 방법을 찾아보세요.시큐어 코드 워리어로부터 배워보세요.

딸과 회사가 나이가 들수록 스타트업 여정과 처음으로 부모가 되는 여정 사이에는 유사점이 너무 많다는 것을 더 많이 깨닫게 됩니다.저는 이제 둘 다 4년차에 접어들었습니다.pi

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.

Five leading cybersecurity experts warn AI is being integrated faster than security policies can manage the risk, creating urgent privacy gaps for SMEs ahead of Data Protection Day on 28 January.

The OWASP Foundation has been a guiding light for security professionals and enthusiasts alike, providing critical, practical advice on the most insidious software vulnerabilities across a plethora of categories and platforms. It has been the first major update since 2021 to the flagship OWASP Top 10 Web Vulnerabilities, and in that time, the industry has been rocked by a stampede of AI technology, tools, and code, each creating a dichotomy of security efficiency and risk for both cybersecurity and software engineering professionals.

The bottom line: AI tools are not safe for enterprise use unless the code output is reviewed and implemented by a security-proficient human. 30% of security experts admit that they don't trust(link is external) the accuracy of code generated by AI itself. That's why security leaders must prioritize the education and upskilling of developer teams, to ensure they have the necessary skills and capabilities to mitigate AI-assisted code vulnerabilities as early as possible. This will lead to the cultivation of a "security first" team culture and safer AI use.

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.