All the way from the planning stages to policy creation and enforcement, VLANs are a hassle while Guardicore Centra is simpler. Here are the important differences, and some ideas for what you can do with all that free time you’ll have once you choose Guardicore for segmenting critical business applications.
From the early days of clouds, segmentation became a popular concept. See how it’s time to re-think what cloud segmentation means in 2019.
When it comes to categories of cyber attacks, not all are created equally. Different types of cyber attacks require different protection and prevention, and will vary in consequence if they slip past your defenses.
Application discovery across all environments and application delivery technologies helps organizations achieve the best possible security protection, compliance posture, and application performance levels.
Using application-centric micro-segmentation to perform application segmentation ensures that security visibility and policy controls keep pace with rapid changes to both the environment and the applications running in it.
Micro-segmentation is an emerging security best practice that offers a number of advantages over more established approaches like network segmentation and application segmentation. The added granularity that micro-segmentation offers is essential at a time when many organizations are adopting cloud services and new deployment options like containers that make traditional perimeter security less relevant.
The best way for organizations to get started with micro-segmentation is to identify the methods that best align with their security and policy objectives, start with focused policies, and gradually layer additional micro-segmentation techniques over time through step-by-step iteration.
One of the major benefits of micro-segmentation is that it provides shared visibility into the assets and activities in an environment without slowing development and innovation. Implementing micro-segmentation greatly reduces the attack surface in environments with a diverse set of deployment models and a high rate of change.
