Today, software-defined data centers (SDDCs) and hybrid infrastructure create opportunities for digital services, while also challenging IT departments for data center security and control, especially when trying to integrate and deploy traditional security solutions. Decentralized IT infrastructure is widely used in physical, virtual, on-premise, and cloud computing workloads, and traditional security is ineffective in terms of performance, scalability, and manageability when building a comprehensive security architecture for the enterprise. .
Security and control mechanisms designed for the Hyper-Consolidated Infrastructure (HCIS) require a flexible design if the IT security team is to provide the visibility and scalability levels desired for digital services. Its security should protect, rather than block, these digital infrastructures that would otherwise expose organizations to security incidents caused by data breaches and security risks.
Data center control can only be achieved through unified management of on-premise and public infrastructure, which is not possible with traditional security solutions. Security debris that leads to IT overhead caused by high maintenance costs is often a major issue for traditional data centers and infrastructure. Because of this, hyper-convergence (the extra layer of abstraction over existing hardware and systems) enables automated, flexible and programmable software-defined data centers.
Traditional endpoint agents that heavily consume virtual workloads, memory, and input/output operations reduce virtualization density and infrastructure utilization while hampering performance. With limited scalability options, traditional security solutions fail to provide a hyper-converged infrastructure that provides the flexibility that organizations need to grow.
Data center securityAny security solution that protects endpoints across the entire infrastructure should not only have out-of-the-box integration with critical Hyper-Consolidated Infrastructure (HCIS) technology, but also be independent of hypervisors and operating systems. Centralized manageability and visibility should also ensure that IT administrators can deploy and implement policies for all infrastructures in a timely manner, even if new workloads are created. Cloud outbreak policy enforcement is key to maintaining control over compliance, performance, and data location because it provides organizations with the workload to run workloads from a financial and operational perspective without sacrificing security. flexibility.
To ensure operational efficiency in the data center, organizations need to be flexible, with security solutions that support automated provisioning and deployment, and provide a single pane view of the entire data center. Continuous security coverage ensures that virtual workloads are always protected regardless of their location and functionality.
Adaptive security layerData center security and control should be based on an adaptive security layer focused on prevention, pre-execution, post-implementation, repair and visibility. On the technical side, the use of machine learning should not be implemented as a layer of security itself, but as a tool to enhance the capabilities of current security technologies.
The security challenges of software-defined data centers (SDDCs) and hyper-integrated infrastructures (HCIS) can only be overcome by providing a solution for data center transformation by providing continuous coverage in a hybrid cloud. And its efficiency, flexibility, and scalability not only provide the security department with the level of visibility they need, but they also allow them to focus on developing new security policies rather than maintaining them.
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