Rethinking application security for AI-powered development cycles

Modern software development faces a security paradox: code is deployed faster than vulnerabilities are identified. Traditional methods like manual reviews and testing are bottlenecks, while AI tools introduce new attack vectors with rapid code creation.

This guide explores how runtime application security shifts protection from periodic checks to a continuous practice. Discover strategies for today’s AppSec challenges:

· Runtime vulnerability detection for immediate feedback
· AI-powered threat detection for evolving attacks
· Criteria for choosing AppSec vendors aligned with workflows

Build a security framework that protects applications without hindering innovation.