Impossibly Simple Workload Segmentation
Stop lateral movement of threats and prevent application compromise and data breaches.
Flat networks increase risk in cloud and data centers
Flat networks allow excessive access via unprotected pathways that allow attackers to move laterally and compromise workloads in cloud and data center environments. Experts agree that shrinking segments and eliminating unnecessary pathways is a core protection strategy for workloads. However, the cost, complexity, and time involved in network segmentation using legacy virtual firewalls outweighs the security benefit.
Legacy network security is complex and time-consuming to deploy and manage
Legacy network controls are complex and time-consuming
Legacy virtual firewalls
Address-based, perimeter controls were not designed to protect internal workload communications. As a result, attackers can “piggyback” on approved firewall rules.
Complex, manual policies
Application interactions have complex interdependencies. Existing solutions translate “application speak” to “network speak,” resulting in thousands of policies that are almost impossible to validate.
Unclear security benefits
Stakeholders need to be convinced that risk will be reduced. Can security risk be reduced without breaking the application? Practitioners struggle to accurately measure the operational risk of deploying complex policies.
Zero trust security that’s impossibly simple
Workload Segmentation is a new way to segment application workloads. With one click, you can enhance security by allowing workload segmentation to reveal risk and apply identity-based protection to your workloads—without any changes to the network. The workload segmentation identity-based technology provides gap-free protection with policies that automatically adapt to environmental changes. Eliminating your network attack surface has never been simpler.
What Workload Segmentation can do for you
security through identity
Identity-based workload protection prevents lateral movement of malware and ransomware across servers, cloud workloads, and desktops. Stop threats with zero trust security.
operations with policy automation
For uniquely simple microsegmentation, driven by machine learning, the service automates policy creation and ongoing management.
visibility and exposure analysis
Get unified visibility into communicating applications on-premises and public clouds. Map app topology in real time, and measure overexposure with attack path analysis.
What makes Workload Segmentation unique?
Software identity-based protection
Workload segmentation looks beyond network addresses to verify the secure identity of the communicating application software and workloads, in public or private clouds, hybrid clouds, on-premises data centers, or container environments. Read the blog post on why identity is foundational for cloud workload protection.
Policy automation engine
Workload segmentation uses machine learning to automate the entire policy lifecycle for microsegmentation and workload protection. There’s no need to build policy manually during deployment or ongoing operations. Workload segmentation recommends new or updated policies when apps change or are added.
Attack surface visibility and measurement
Workload segmentation automatically builds a real-time application topology and dependency map down to the process level. It then highlights the required application paths and compares them to the total available network paths, recommending policies to minimize attack surface and protect what’s needed. Read the blog post on how microsegmentation differs from network segmentation.