AI-Based Anomaly Detection Replaces Manual Badge Review
AI-based anomaly detection, which flags unusual access patterns without requiring a security officer to manually review badge logs, is becoming the preferred approach as enterprises seek to catch tailgating and credential misuse before incidents escalate. Roughly 31 percent of new deployments now include AI-based anomaly detection as a standard feature, up meaningfully from prior years as detection models mature. This shift is compressing the competitive gap between legacy hardware manufacturers retrofitting AI capability onto older platforms and newer cloud-native providers built with anomaly detection as a core function from the outset, forcing incumbents to accelerate their own development roadmaps considerably.
Market Impact: 46 percent cite hybrid work








