In a rapidly evolving technological landscape, application security faces significant challenges primarily due to the rise of AI-driven tools and modern software development practices like Agile and DevOps. Traditional security tools are outdated and often fail to manage the complexities introduced by open-source software, which now constitutes about 85% of code in applications. This shift necessitates a re-evaluation of application security tools, which are currently divided into distinct segments for custom and open-source code. A more cohesive and integrated approach to security is essential to address today's intricate vulnerabilities effectively.
Shahar Man emphasizes that application security must evolve as AI and DevOps change software development, requiring a unified approach rather than outdated, separate tools.
The speed of software releases, driven by Agile methods, significantly complicates security processes, preventing teams from adequately checking for vulnerabilities.
Collection
[
|
...
]