Advanced Threat Prevention License Options
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Advanced Threat Prevention License Options

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Advanced Threat Prevention License Options

Provides an overview of the Advanced Threat Prevention licenses available for the NGFW and Prisma Access.
Where Can I Use This?What Do I Need?
  • Prisma Access (Managed by Panorama or Strata Cloud Manager)
  • NGFW (Managed by Panorama or Strata Cloud Manager)
  • VM-Series
  • CN-Series
  • Advanced Threat Prevention (for enhanced feature support) or Threat Prevention License
Palo Alto Networks provides two primary license options for threat prevention on NGFW platforms: the Threat Prevention subscription and the more advanced Advanced Threat Prevention subscription. These can be purchased individually or as part of various bundled security packages.
A Threat Prevention (either Threat Prevention or Advanced Threat Prevention) is required to use Advanced DNS Security.
  • Threat Prevention—This foundational subscription uses a signature-based engine to provide essential Intrusion Prevention System (IPS) functions:
    The standard Threat Prevention license is EOS (end-of-sale) and no longer available for new customers; however, all features found in the Threat Prevention license is included with Advanced Threat Prevention.
    • Vulnerability Protection: Blocks known exploits targeting software vulnerabilities (e.g., buffer overflows, code execution) across various protocols.
    • Antivirus & Anti-Spyware: Identifies and stops malware delivery and prevents compromised hosts from communicating with known malicious destinations.
    • Command-and-Control (C2) Detection: Prevents established malware from receiving instructions by blocking traffic to known C2 IP addresses and domains.
    • External Dynamic Lists (EDLs): Allows the firewall to automatically import and enforce IP, Domain, and URL blocklists from Palo Alto Networks or third-party threat intelligence feeds.
  • Advanced Threat Prevention—Building on the standard Threat Prevention features, this license incorporates cloud-based machine learning (ML) and deep learning to provide real-time, inline protection against unknown and highly evasive threats. Key features include:
    • Inline Deep Learning: Unlike traditional sandboxing that detects a threat after it has entered the network, Advanced Threat Prevention uses inline ML models to analyze traffic in real-time, blocking zero-day exploits before the first packet can pass.
    • Enhanced C2 Prevention: Advanced Threat Prevention identifies and stops highly evasive, C2 traffic—such as those using DNS tunneling or custom-built protocols—by analyzing traffic patterns rather than relying on static signatures.
    • Zero-Day Injection Attack Protection: Specifically targets sophisticated SQL injection and Command Injection attacks that use obfuscation to bypass standard signature filters.