With the constant evolution of cyber threats, securing enterprise networks has become a top priority. One of the most effective strategies for securing modern networks is microsegmentation, which involves segmenting a network into smaller, isolated zones to enhance security. For microsegmentation to be truly effective, it must be built on a foundation of accurate, dynamic asset classification. In this post, we explore the importance of dynamic asset classification in the context of microsegmentation, highlighting how it supports network security, increases operational efficiency, and enables the automation of policies.
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What Is Asset Classification in Microsegmentation?
Asset classification is the process of identifying and categorizing network assets—devices, applications, users, and data—using tags. These tags are applied based on various attributes like the asset’s function, sensitivity level, or communication needs within the network. In microsegmentation, these classifications play a vital role in defining how assets interact with each other, allowing security policies to be applied dynamically and automatically.
Dynamic asset classification refers to the ability to intelligently classify assets, whether they already exist or are newly added to the network. This real-time classification ensures that any changes in the network, including new devices or changes in device functionality, are immediately reflected in the segmentation policy. This helps companies maintain up-to-date security postures. With microsegmentation automation, the classification process becomes faster, more reliable, and reduces the risk of human error, which can be a significant vulnerability in security operations.
Why Dynamic Asset Classification Is Crucial for Network Microsegmentation
Dynamic asset classification is a key element in effective network microsegmentation planning. Here’s why it is essential for creating strong network security:
1. Improved Granularity – By classifying assets dynamically, organizations can create granular security policies that account for the specific needs of each asset type. Rather than applying broad, generalized policies, network microsegmentation with dynamic asset classification allows businesses to implement precise, context-aware security rules. For example, sensitive data storage systems can be isolated from less critical assets, while essential communication paths are protected through highly specific access control lists (ACLs).
This level of granularity ensures that only authorized users or systems can access certain network segments, protecting against unauthorized access, data breaches, and lateral movement of threats.
2. Automated Policies – In the past, creating effective network security policies required significant manual effort to track assets and ensure their proper classification. However, dynamic asset classification in network microsegmentation enables the automation of this process. As new assets are added to the network, they are automatically tagged and classified according to pre-established taxonomy, and appropriate policies are applied without the need for manual intervention.
This automation drastically reduces the time and resources required for ongoing policy management. It also minimizes the risk of misclassification or missed assets, which can result in security gaps. In addition, the automation of these tasks frees up network administrators to focus on more strategic security initiatives, improving operational efficiency.
3. Respond Faster to Changing Network Dynamics – Corporate networks are constantly evolving. New devices are regularly added, employees shift between roles, and applications undergo updates. Dynamic asset classification allows your microsegmentation framework to adapt to these changes seamlessly. Rather than waiting for manual updates or relying on static classification, microsegmentation can react to these shifts in real time.
For instance, if a new device is added to the network, it is automatically tagged and classified according to its function or role in the environment. Based on its classification, the device will only be permitted to access the relevant network segments, maintaining the security integrity of the entire system. This agility is crucial in a fast-paced environment where network configurations are constantly in flux.
4. Optimize Network Resource Utilization – Proper asset tagging and classification can significantly improve the efficiency of network resources. By dynamically classifying assets, organizations can ensure that only the necessary resources are available to each network segment. Unnecessary resource consumption, such as bandwidth and processing power, is minimized by applying appropriate segmentation policies based on the classification taxonomy.
For example, a high-performance compute node that handles sensitive data may require a high level of protection and access to high bandwidth, while a non-critical printer on the same network should have far less access to resources. By segmenting these assets properly, network microsegmentation enables organizations to optimize the use of their infrastructure while maintaining robust security controls.
How to Implement Dynamic Asset Classification in Your Network
To achieve effective dynamic asset classification, it is essential to follow a structured approach in network microsegmentation planning. The following steps can help you implement asset classification in your organization:
- Develop a Classification Taxonomy: Begin by defining a clear and consistent classification taxonomy. This taxonomy should outline how assets will be categorized based on factors such as risk, sensitivity, physical or virtual location, and criticality to business operations. Clear categories make it easy to apply specific security policies to each group.
- Utilize Automation Tools: To handle the complexity and volume of assets in large networks, invest in network microsegmentation software like 12Port Horizon that supports automation. These tools can automatically classify network assets, allowing for accurate and up-to-date segmentation.
- Review and Update Regularly: Networks are dynamic, with assets continuously changing or being added. To ensure the classification taxonomy stays relevant, regularly review and update your asset classification process. Dynamic tools should be able to automatically incorporate changes without manual intervention.
- Test and Refine: Once the asset classification system is implemented, continuously monitor its effectiveness in enforcing security policies. Conduct regular testing and refine the taxonomy and policies as needed to address emerging threats and changes in your network environment.
Get Started Today with Dynamic Asset Classification
Dynamic asset classification is a critical part of a successful microsegmentation strategy. By accurately tagging network assets and enabling automated, granular security policies, it helps organizations reduce risks, respond to changes quickly, and make better use of resources.
The 12Port Horizon platform provides the tools needed to manage assets, define segmentation taxonomies, and enforce policies across physical, virtual, and cloud environments. With a quick deployment and granular policy management features, it helps secure critical assets, isolate threats, and maintain a Zero Trust approach.
Get started today by downloading a free trial of our microsegmentation software or contacting us to schedule a demo. Secure your network with confidence.
Frequently Asked Questions (FAQs)
Static asset classification involves manually tagging and categorizing assets, while dynamic asset classification automatically updates classifications in real time based on network changes.
Dynamic asset classification enables microsegmentation by automatically tagging network assets and applying appropriate security policies to each asset type, improving both security and operational efficiency.
Key benefits include increased granularity in security policies, automation of policy enforcement, faster response to network changes, and optimized resource utilization.
Start by developing a classification taxonomy, using automation tools for asset tagging, and regularly updating your classification system to reflect network changes. Testing and refining policies is also essential.
Yes, by ensuring that sensitive data and high-risk assets are properly segmented, dynamic asset classification can help meet regulatory compliance requirements and protect critical information.