Palo Alto PA-220 WildFire Lizenz (End of Sale/Life)

Palo Alto Networks WildFire® malware prevention service eliminates the need to compromise security for performance and finally enables organizations to adopt a prevention-first posture. As the industry’s most advanced cloud-based analysis and prevention engine for malware, WildFire analyzes every unknown file for malicious intent, and then distributes prevention in record time to reduce the risk of a first victim and every threat thereafter.

Unlike traditional solutions that depend solely on offline or delayed analysis of unknown malware, WildFire analysis and intelligence flow directly into machine-learning models that act locally at the firewall level to stop up to 95% of new threats inline. For the rest, WildFire uses an innovative multitechnique approach to distribute signatures to every ML-Powered NGFW in seconds.

No other malware analysis engine can offer prevention without affecting productivity. WildFire combines dynamic and static analysis, innovative machine-learning techniques, recursive analysis, and a groundbreaking custom-built analysis environment to analyze, identify, and prevent even the most sophisticated and evasive threats. After analysis, automation is where WildFire shines: it applies rapid and consistent prevention at the edge, in your data center, from the cloud, within software-as-a-service (SaaS) applications, and on endpoints.

Palo Alto Wildfire Key Capabilities

Prevent Unknown Threats at the Firewall Level with Inline Machine Learning

Powered by threat models continually honed in the cloud, WildFire includes an inline machine learning-based engine delivered within our hardware and virtual ML-Powered NGFWs. This innovative, signatureless capability prevents malicious content in common file types—such as portable executable files and fileless attacks stemming from PowerShell—completely inline, with no required cloud analysis, no damage to content, and no loss of user productivity. Whether an unknown file matches an existing signature or is classified by an ML-Powered NGFW, WildFire always performs full analysis, extracting valuable intelligence and data to provide context for security analysts, generate training updates for the machine-learning models, and share intelligence with other subscriptions to prevent other attack vectors.

Get Global Prevention Across the WildFire Ecosystem, Delivered in Seconds

For highly customized threats that its inline machine learning-powered prevention cannot stop, WildFire applies powerful cloud-based analysis to deliver prevention across networks, clouds, endpoints, or wherever WildFire-enabled sensors are deployed. Working in tandem with the new capabilities of PAN-OS®, WildFire generates and delivers prevention globally within seconds of initial analysis for most new threats. This innovative, cloud-scale delivery of evasion-resistant signatures closes the window for adversaries to successfully deploy malicious content.