Advanced Threat Prevention Detection Services
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Advanced Threat Prevention Detection Services

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Advanced Threat Prevention Detection Services

Palo Alto Networks threat subscriptions defend against commodity and advanced persistent threats (APTs) using multi-pronged detection to secure the entire network landscape.
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

About Advanced Threat Prevention

The Palo Alto Networks® next-generation firewall threat intrusion prevention subscriptions protect and defend your network from commodity threats and advanced persistent threats (APTs) using multi-pronged detection mechanisms to combat the entire gamut of the threat landscape. Palo Alto Networks threat prevention solution is comprised of the following subscriptions:
  • Advanced Threat Prevention—The Advanced Threat Prevention cloud service uses inline deep learning and machine learning models for real-time detection of evasive and never before seen, unknown C2 threats and zero day vulnerability exploits. As an ultra low-latency native cloud service, this extensible and infinitely scalable solution is always kept up to date with model training improvements. It also supports Local Deep Learning, which complements the cloud-based Inline Cloud Analysis component of Advanced Threat Prevention by providing a mechanism to perform fast, local deep learning-based analysis of zero-day and other evasive threats. The Advanced Threat Prevention license includes all of the benefits included with Threat Prevention.
  • Threat Prevention—The base Threat Prevention subscription is based on signatures generated from malicious traffic data collected from various Palo Alto Networks services. These signatures are used by the firewall to enforce security policies based on specific threats, which include: command-and-control (C2), various types of known malware, and vulnerability exploits; and combined with App-ID and User-ID identification technologies on the firewall, you can cross-reference context data to produce fine grained policies. As a part of your threat mitigation policies, you can also identify and block known or risky file types and IP addresses, of which several premade categories are available, including lists specifying bulletproof service providers and known malicious IPs. In cases where specialized tools and software are used, you can create your own vulnerability signatures to customize your intrusion prevention capabilities to your network’s unique requirements.
To maximize your threat prevention, Palo Alto Network also recommends the following subscription services in addition to Advanced | Threat Prevention:
  • Advanced DNS Security—The DNS Security cloud service designed to protect your organization from advanced DNS-based threats. By applying advanced machine learning and predictive analytics to a diverse range of threat intelligence sources, DNS Security generates an enhanced DNS signature set and provides real-time analysis of DNS requests to defend your network against newly generated malicious domains. DNS Security can detect various C2 threats, including DNS tunneling, DNS rebinding attacks, domains created using auto-generation, malware hosts, and many more. DNS Security requires and works with your Advanced Threat Prevention or Threat Prevention subscription for complete DNS threat coverage.

Advanced Threat Prevention Detection Services

Palo Alto Networks intrusion prevention subscriptions work together to provide a comprehensive solution that intercepts and breaks the chain at various stages of the attack process and provides visibility to prevent security infringement on your network infrastructure.
Advanced Threat Prevention is an intrusion prevention system (IPS) solution that can detect and block malware, vulnerability exploits, and command-and-control (C2) across all ports and protocols, using a multi-layered prevention system with components operating on the firewall and in the cloud. The Threat Prevention cloud operates a multitude of detection services using the combined threat data from Palo Alto Networks services to create signatures, each possessing specific identifiable patterns, and are used by the firewall to enforce security policies when matching threats and malicious behaviors are detected. These signatures are categorized based on the threat type and are assigned unique identifier numbers. To detect threats that correspond with these signatures, the firewall operates analysis engines that inspect and classify network traffic exhibiting anomalous traits.
In addition to the signature-based detection mechanism, Advanced Threat Prevention provides an inline detection system to prevent unknown and evasive C2 threats. These include the following:
  • C2 threats developed using the Empire framework and open source Sliver C2 frameworks
  • General command injection and SQL injection vulnerabilities
  • DNS relay threats (also known as data exfiltration via HTTP request headers)
The Advanced Threat Prevention cloud operates extensible deep learning models that enable inline analysis capabilities on the firewall, on a per-request basis to prevent zero-day threats from entering the network as well as to distribute protections. This allows you to prevent unknown threats using real-time traffic inspection with inline detectors. These deep learning, ML-based detection engines in the Advanced Threat Prevention cloud analyze traffic for unknown C2 and vulnerabilities which utilize SQL injection and command injection to protect against zero-day threats. To provide a threat context and comprehensive detection details, reports are generated that can include the tools/techniques used by the attacker, the scope and impact of the detection, as well as the corresponding cyberattack classification as defined by the MITRE ATT&CK® framework.
MITRE ATT&CK® is a curated knowledge base and model for cyber adversary behavior. This work is reproduced and distributed with the permission of The MITRE Corporation. The MITRE Corporation (MITRE) hereby grants you a non-exclusive, royalty-free license to use ATT&CK® for research, development, and commercial purposes. Any copy you make for such purposes is authorized provided that you reproduce MITRE’s copyright designation and this license in any such copy.
By operating cloud-based detection engines, you can access a wide array of detection mechanisms that are updated and deployed automatically without requiring the user to download content packages or operate process intensive, firewall-based analyzers which consume resources. The cloud-based detection engine logic is continuously monitored and updated using C2 traffic datasets from WildFire, with additional support from Palo Alto Networks threat researchers who provide human intervention for highly accurized detection enhancements. Advanced Threat Prevention’s deep learning engines support analysis of C2-based threats over HTTP, HTTP2, SSL, unknown-UDP, and unknown-TCP applications. Additional analysis models are delivered through content updates, however, enhancements to existing models are performed as a cloud-side update, requiring no firewall update.
Advanced Threat Prevention also supports Local Deep Learning, which provides a mechanism to perform fast, local deep learning-based analysis of zero-day and other evasive threats, as a complementary feature to the cloud-based Inline Cloud Analysis component of Advanced Threat Prevention. Known malicious traffic that matches against Palo Alto Networks published signature set are dropped (or have another user-defined action applied to them); however, certain traffic that matches the criteria for suspicious content are rerouted for analysis using the Deep Leaning Analysis detection module. If further analysis is necessary, the traffic is sent to the Advanced Threat Prevention cloud for additional analysis, as well as the requisite false-positive and false-negative checks. The Deep Learning detection module is based on the proven detection modules operating in the Advanced Threat Prevention cloud, and as such, have the same zero-day and advanced threat detection capabilities. However, they also have the added advantage of processing a much higher volume of traffic, without the lag associated with cloud queries. This enables you to inspect more traffic and receive verdicts in a shorter span of time. This is especially beneficial when faced with challenging network conditions.
Palo Alto Networks also offers the Threat Prevention subscription that does not include the features found in the cloud-based Advanced Threat Prevention license.
The threat signatures used by the firewall are broadly categorized into three types: antivirus, anti-spyware, vulnerability and are used by the corresponding security profiles to enforce user-defined policies.
Palo Alto Networks cloud-delivered security services also generate WildFire and DNS C2 signatures for their respective services, as well as file-format signatures, which can designate file types in lieu of threat signatures; for example, as signature exceptions.
  • Antivirus signatures detect various types of malware and viruses, including worms, trojans, and spyware downloads.
  • Anti-Spyware signatures detect C2 spyware on compromised hosts from trying to phone-home or beacon out to an external C2 server.
  • Vulnerability signatures detect exploit system vulnerabilities.
Signatures have a default severity level with an associated default action; for example, in the case of a highly malicious threat, the default action is Reset Both. This setting is based on security recommendations from Palo Alto Networks.
In deployments where specialized internal applications or third-party intelligence feeds using open-source Snort and Suricata rules are used, custom signatures can be created for purpose-built protection. When the firewall is managed by a Panorama management server, the ThreatID is mapped to the corresponding custom threat on the firewall to enable the firewall to generate a threat log populated with the configured custom ThreatID. Learn more by visiting our guide to Custom Application and Threat Signatures
Firewalls receive signature updates in the form of two update packages: the daily Antivirus Content and weekly Application and Threats Content updates. The antivirus content updates include antivirus signatures and DNS (C2) signatures used by antivirus and anti-spyware security profiles, respectively. Content updates for applications and threats include vulnerability and anti-spyware signatures, used by the vulnerability and anti-spyware security profiles, respectively. The update packages also include additional content leveraged by other services and sub-functions. For more information, refer to Dynamic Content Updates.