Palo Alto Networks® Advanced WildFire® is the industry’s largest cloud-based malware analysis and prevention engine that uses machine learning and crowdsourced intelligence to protect organizations from the hardest-to-detect threats.

Palo Alto Networks PA-5400 Series ML-Powered NGFWs—comprising the PA-5430, PA-5420 and PA-5410—are ideal for high-speed data center, internet gateway, and service provider deployments. The PA-5400 Series appliances secure all traffic, including encrypted traffic, using dedicated processing and memory for networking, security, threat prevention, and management.

This article details the top three use cases wherein a virtual firewall should be deployed to improve security efficacy.

A transit VPC is a gateway architecture used to connect geographically dispersed VPCs or VNets to each other and remote networks.

The hybrid data center enables greater IT efficiency, and automation, supporting the delivery of new application workloads across network fabric

Palo Alto Networks Advanced Threat Prevention blocks unknown evasive command and control traffic inline with unique deep learning and machine learning models.

A virtual firewall is a network security solution designed specifically for environments in which deploying hardware firewalls is difficult

A firewall is a network security device that grants or rejects network access to traffic flows between an untrusted zone and a trusted zone

A data center is a facility that centralizes an organization’s shared IT operations and equipment for the purposes of storing and processing data

Antivirus/EPP/EDR features consolidated and integrated into Cortex XDR and installed on about 5,000 endpoints

Command and Control, or C2, is the set of tools and techniques threat actors use to maintain communication with compromised devices after initial exploitation.

The PCNSA certification covers how to operate and manage Palo Alto Networks Next-Generation Firewalls.

Exploit kits are automated threats that use compromised sites to divert web traffic, scan for vulnerable browser-based applications, and run malware

To successfully stop cyberattacks, organizations can't rely on point solutions. There must be layers of defenses, covering many points of interception

Machine learning refers to the use of artificial intelligence to give computers the ability to learn and make predictions.

Machine learning can help network professionals stay ahead of new cyberattacks, secure the entire network, and reduce human error.

5G promises transformative mobility by offering a refined mobile broadband experience and enabling the mass digitization of businesses and industries.

URL filtering limits access by comparing web traffic against a database to prevent employees from accessing harmful sites such as phishing pages.

Pioneered by Palo Alto Networks, an ML-powered NGFW embeds machine learning to deliver inline, proactive, real-time enterprise protection.

A new spear phishing campaign called FreeMilk is aimed at high value target and uses a relatively new attack technique that can be highly effective

Phishing is a form of social engineering where attackers attempt to trick a user into clicking a malicious link or downloading an attachment containing malware.

Fast flux is a technique cybercriminals use to cycle through bots and DNS records, usually for phishing. It is difficult for law enforcement to detect.

Malicious newly registered domains are used in cybercrimes such as phishing and malware distribution, often elements of credential and data theft attacks.

Zero Trust has become one of cybersecurity’s most used buzzwords. It’s imperative to understand what Zero Trust is, as well as what Zero Trust isn’t.

New IoT adoption or expanding established IoT networks comes with challenges surrounding managing, monitoring and securing connected IoT environments.

IoT security technology must protect devices and the networks they are connected to from the ever-widening spectrum of IoT device vulnerabilities and risks.

Firewalls have evolved from reactive devices that control access to internal resources to proactive tools that use machine learning to enforce security policies.

A walk-through of attacks in the wild that abuse stolen cloud compute credentials in the cloud environment. Unit 42 researchers highlight two case studies.

In this on-demand session, we will explore how to make Zero Trust actionable including: Securing Users, Applications and Infrastructure with Zero Trust

DNS tunneling is one of the most damaging DNS attacks. What exactly is it, and how does it work?