Prevent unknown threats and see everything with machine learning powered next generation firewalls. Identify new variants of threats and new devices without relying on signatures. Analyse devices by utilising machine learning at cloud scale through continuous collection of data and telemetry. Simply your security posture with an integrated solution that delivers complete visibility everywhere.
Cyberattacks are growing by the day and adding proxies or sandboxing technologies simply won’t offer enough protection from advanced threats.
Physical:
Physical appliances provide consistent encryption to your entire data network perimeter including branches, Data Centre, and Head office.
Virtual:
Virtual firewalls are easy to deploy, scalable and with machine learning powered capabilities safeguard cloud speed and offer micro segmentation with threat prevention.
Container:
Protect workloads with deep layer 7 inspection into inbound, outbound and east-west traffic between container zones.
Advanced Malware protection – protect against unknown threats
Protect against previously unknown threats in seconds by leveraging cloud-based malware detection and multiple analysis techniques to identify unknown file-based threats.
Data Loss Prevention – protect intellectual property
Minimise the risk of data breaches by protecting sensitive data across every channel with consistent data protection everywhere.
DNS Security – stop DNS based attacks
Block DNS attacks (command-and-control, DNS tunnelling) and malicious domains by using predictive analytics and machine learning.
Intrusion prevention – that looks at all traffic
Inspect all traffic for threats (command and control, exploits, malware & spyware) and automatically block regardless of encryption (HTTPS), port or protocol.
URL filtering – protect against web-based threats
Protect your organization against web-based threats such as phishing, malware and command-and-control by instantly blocking users access to known and new malicious websites.
*This Content is referenced from Palo Alto Networks
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