AI-Enabled Malware: Prevalence, Detection, and Trends
🛡️ Palo Alto Networks Unit 42 analyzed 405 AI-integrated malware samples to measure real-world prevalence and detection efficacy. The dataset spans proof-of-concept code, security testing submissions, and AI-branded malware, but only 12 samples appeared on Cortex XDR-protected endpoints. Existing layered defenses — including behavioral analytics, WildFire sandboxing, and endpoint telemetry — detected and blocked all observed production samples.
