AI AppSec tools agree on just 5% of security findings

Contrast Security has published its AppSec Overflow 2026 report, revealing that three different AI-based application security scanners agreed on only 5% of their security findings when analyzing the same codebase. The study further highlights significant operational gaps, noting that organizations face average patch backlogs exceeding one year while adversaries launch viable exploit attempts against applications approximately every few minutes. Key attack vectors identified in the telemetry include untrusted deserialization, path traversal, and SQL injection, with the latter appearing across all tracked industries.