AI has changed application security in two ways at once: helping teams detect more risk than ever, while also creating far more of it. As AI-generated code accelerates development, applications contain more code, more components, and more attack surface, and every commit floods teams with alerts that all claim to be “critical”. According to the Checkmarx 2026 Future of AppSec Report, developers now spend 49% of their time on security-related tasks, largely due to too many findings, unclear remediation guidance, and constant context switching.

Detection isn't the problem. Overload is. When everything looks urgent, critical vulnerabilities get buried among false positives and low-impact findings, slowing remediation and increasing business risk.

The root cause is a lack of context. Code context shows whether a vulnerable path is actually reachable. Cloud and runtime context reveal whether it's exploitable in the real world. ASPM brings those signals together, turning isolated findings into a prioritised, actionable view of real risk. Without it, teams keep triaging noise while the vulnerabilities that truly matter slip through.

Join Emma Datny, Sr. Product Marketing Manager from Checkmarx, Avi Hein, Product Marketing Professional Lead from Checkmarx and Tom Hollingsworth, Event LeadTech from Tech Field Day to explore how contextual risk scoring and ASPM are changing the way teams approach AppSec, and why the ones pulling ahead aren't finding more vulnerabilities, they're fixing the right ones faster.