OWASP (Open Worldwide Application Security Project) is an open community project dedicated to improving software security, widely known for its vulnerability risk ranking "OWASP Top 10."
If you have worked in web application security, you have likely encountered the OWASP Top 10. It systematizes vulnerability patterns that developers repeatedly fall into—SQL injection, XSS, authentication flaws—and publishes them as risks to prioritize. OWASP itself is not a specific tool or vendor but a nonprofit project run by security experts worldwide on a volunteer basis. Beyond the Top 10, it publishes numerous projects including the OWASP Testing Guide, vulnerability assessment methodology (ASVS), and security integration into the development lifecycle (SAMM). With the spread of generative AI, the **OWASP Top 10 for LLM Applications** was published. It organizes LLM-specific risks into 10 items, including prompt injection, sensitive information disclosure, and excessive permissions. Unlike traditional web security, inputs are natural language, making attacks that conventional validation cannot prevent a distinctive characteristic. In the DevSecOps context, integrating OWASP guidelines into CI/CD pipelines to detect vulnerabilities early in the development cycle has become common practice.


DevSecOps is an approach that integrates security measures into the DevOps pipeline from the outset, unifying the three domains of development, security, and operations.

OpenClaw is an open-source personal AI agent framework that runs in a local environment, featuring long-term memory, autonomous task execution, and self-generating skill capabilities, which surpassed 160,000 stars on GitHub in 2026.

DevOps is a collective term for the culture and practices that integrate software development (Development) and operations (Operations), achieving both faster release cycles and improved quality through CI/CD pipelines and automation tools.

【2026】Latest Trends in AI Cybersecurity

ATDD (Acceptance Test-Driven Development) is a development methodology in which the entire team defines acceptance test criteria before development begins, automates those tests, and then proceeds with implementation.