Bridging the gap: AI vulnerability management research between industry and academia

A discussion-based study identifies three major barriers hindering industry adoption of academic AI vulnerability management models: complex scalability and prioritization requirements, limited customization flexibility, and unclear financial impact. Reports state that AI models substantially outperform traditional static analysis tools, while research efforts are limited by a lack of large-scale real-world security data and expertise. The authors propose future directions to understand industry expectations, improve the practicality of AI security vulnerability research, and promote industry-academia collaboration.