With the integration of AI-enhancing developer tools, DevSecOps workflows are becoming faster and more efficient. From influencing how organizations operate on a daily basis to closing the developer skills gap, reducing testing and remediation time, and decreasing tool sprawl, AI’s benefits continue to increase tenfold with every advancement. However, cybercriminals are also using AI to create advanced malware, putting security at the top list of developer priorities. Developers are accustomed to incorporating security within software applications, but organizational roadblocks slow down production. As organizations shift from DevOps to DevSecOps, the modern developer’s role is becoming more closely tied to security measures. Let’s explore three ways AI is reshaping DevSecOps and how developers can help evaluate their organization’s security posture.
1. AI Is Evolving the Software Development Life Cycle
Security threats are becoming increasingly sophisticated. One of the primary challenges nearly 46% of developers face is a lack of security expertise. Pressed for tighter product and application deliveries in the software development life cycle (SDLC), developers are often forced to look past incorporating security measures upfront, which eventually slows down production and time to market.