Automating Network Segmentation with Palo Alt...

Automating Network Segmentation with Palo Alto Networks: Investigate the role of Automation and AI in Enhancing Network Segmentation Efforts, Focusing on Palo Alto Networks ‘ Tools

Author Name : Romayne Maria Cachart

ABSTRACT In the ever-changing world of cybersecurity, network segmentation is purported a paramount tactic, which is by far the most potent solution in mitigating cyber threats and restricting potential breaches There has been a lingering contradiction between the conventional phase of network segmentation being time-consuming and difficult to deal with it including mistakes as errors. Yet, with the growing introduction of automation and AI technology, cybersecurity is about to entirely transform this practice. This work discusses the ultimate result of automation and AI in strengthening network segmentation efficacy, taking into consideration the alternative solutions proposed by Palo Alto Networks. Leveraging automation and AI technologies, the offered Palo Alto network tools bring about the enhancement of the functionality of existing segmentation with an increase in its efficiency, accuracy, adaptability over time. These technologies not only simplify the segmentation process but also lift the defenses of the network by having the ability to carry on the threat detection and response in real- time, enforce detailed security policies, and facilitate the changes by being proactive. Through a systematic analysis of the already published research and an evaluation of the Palo Alto Networks’ products, it becomes apparent the unquestionably positive improvements and possible problems that automation and artificial intelligence can bring to network segmentation.