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Description

Safeguard your network against zero-day attacks in real-time with a pioneering deep and machine-learning Intrusion Prevention System (IPS) that stands out in the industry. This unique solution effectively blocks unknown command-and-control (C2) attacks and exploit attempts immediately, utilizing advanced threat prevention through specially designed inline deep learning models. Additionally, it defends against a variety of established threats, including exploits, malware, spyware, and C2 attacks, all while maintaining top-notch performance with cutting-edge, researcher-grade signatures. Palo Alto's Advanced Threat Prevention (ATP) addresses threats at both the network and application layers, effectively mitigating risks such as port scans, buffer overflows, and remote code execution, and prioritizing a minimal rate of false positives. With the ability to counteract the latest malware threats through payload signatures rather than traditional hashes, this solution is equipped to handle both current and emerging malware variants, delivering prompt security updates from Advanced WildFire within seconds. Enhance your defensive measures further by incorporating flexible Snort and Suricata rule conversions, allowing for tailored protection strategies to meet your specific network needs. This comprehensive approach ensures that your infrastructure remains resilient against evolving cyber threats.

Description

YARA serves as a resource primarily designed for malware analysts to discover and categorize malware samples effectively. This powerful tool enables users to develop representations of various malware families or other entities by utilizing either textual or binary patterns. Each representation, known as a rule, comprises a collection of strings paired with a boolean expression that dictates its operational logic. Additionally, YARA-CI can enhance your toolkit by offering a GitHub application that facilitates continuous testing of your rules, which aids in detecting frequent errors and minimizing false positives. In essence, the specified rule directs YARA to flag any file that contains one of the three designated strings as a silent_banker, thereby streamlining the identification process. By incorporating YARA and YARA-CI, researchers can significantly improve their malware detection capabilities and overall efficiency in their work.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Betterscan.io No 
CloudCover CoverIT Yes 
Cobalt Strike Yes 
Filigran No 
IBM Cloud App ID Yes 
LimaCharlie No 
Snort Yes 
Suricata Yes 
Symantec Network Forensics No 
Tenzir No 
Threat.Zone No 
Uptycs No 
VORXOC Yes 
emma Yes 

Integrations

Betterscan.io Yes 
CloudCover CoverIT No 
Cobalt Strike No 
Filigran Yes 
IBM Cloud App ID No 
LimaCharlie Yes 
Snort No 
Suricata No 
Symantec Network Forensics Yes 
Tenzir Yes 
Threat.Zone Yes 
Uptycs Yes 
VORXOC No 
emma No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Palo Alto

Founded

2005

Country

United States

Website

www.paloaltonetworks.com/network-security/advanced-threat-prevention

Vendor Details

Company Name

YARA

Website

virustotal.github.io/yara/

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