Many organizations today have undertaken digital transformation initiatives. These programs have led to the increasing adoption of IoT, mobility, and cloud, resulting in an increasingly distributed IT landscape. Attackers have resources and more sophisticated methods than ever to use against organizations.


A significant part of the problem is that legacy security solutions cannot adequately address the dynamic nature of the attack landscape and enterprise environment itself. Traditional signature-based, manual, and siloed tools struggle to provide the protection, scalability, and performance necessary to meet the requirements of the modern enterprise. As a result, organizations should look for network security platforms that leverage machine learning to proactively ensure real-time, consistent, distributed enforcement across the entire network and provide intelligent centralized management.