New research from ArmorCode highlights the growing challenge security teams face in managing vulnerability findings as AI accelerates both software development and security testing. In a survey of 200 senior security and technology leaders, 40% identified the volume of AI-generated code requiring human review as a major challenge, while 44% pointed to the need for a tiered approach to AI-assisted vulnerability discovery and remediation.
The findings suggest that effective security programs will increasingly rely on a combination of automation, AI agents and human judgment. Routine, repeatable tasks can be automated, while AI agents can help assess exploitability, correlate findings and identify attack paths, leaving humans to focus on higher-risk decisions and accountability. The research also highlights persistent challenges around low-context alerts, fragmented tools and slow remediation workflows, reinforcing the need for better prioritization and coordination across security and development teams.