Palo Alto Networks Advanced Threat Prevention is an intrusion prevention system that uses inline deep learning models to detect and block zero-day threats in real time. The solution employs machine learning, deep learning, and generative AI through its Precision AI technology to analyze threat data and provide network protection. The system blocks unknown command and control attacks and exploit attempts at both network and application layers. It provides protection against port scans, buffer overflows, remote code execution, and various malware types including spyware and command-and-control attacks. The solution uses payload signatures rather than hash-based detection to identify known and future malware variants. Advanced Threat Prevention integrates with Palo Alto Networks' next-generation firewalls and leverages User-ID, App-ID, and Device-ID technologies to add context to network traffic across all ports. The system receives security updates from Advanced WildFire in seconds to protect against recent malware threats. The solution supports custom signature creation and includes conversion capabilities for Snort and Suricata rules. It provides detection of web-based Cobalt Strike, unknown injection attacks, and various evasion techniques. The system operates inline without compromising network performance and maintains low false positive rates.