Enterprises in the Europe, Middle East and Africa (EMEA) region are increasingly adopting hyperconverged infrastructure (HCI) to meet their growing technology needs. This technology efficiently unifies compute, storage, and networking resources into a single system.

With the rise of Zero Trust architecture and the use of artificial intelligence-based security tools, HCI is increasingly being used to strengthen data protection and minimize potential system vulnerabilities.

This type of infrastructure not only allows organizations to simplify the management of their IT operations, but also helps them reduce costs and improve their cybersecurity posture.

HCI infrastructure and cybersecurity in EMEA

Dell Technologies has identified three key trends driving the evolution of HCI and strengthening cybersecurity in the EMEA region:

  1. Automation powered by artificial intelligence

The integration of artificial intelligence into hyperconverged infrastructure is playing a crucial role in the EMEA region, especially in a context where companies need to optimize their technological operations and manage costs effectively. AI-enabled HCI solutions enable the use of predictive analytics, helping IT teams anticipate and resolve potential issues before they impact system performance. For example, AI algorithms can process large volumes of data generated by HCI systems to detect patterns that warn of potential failures or performance issues. This not only improves efficiency, but also ensures a more resilient and agile IT infrastructure, reducing downtime.

Additionally, AI-based automation has a direct impact on security. By incorporating AI capabilities, organizations can proactively detect and respond to cyber threats, ensuring data integrity in both on-premises and cloud environments. AI is capable of quickly analyzing network traffic, identifying anomalous behavior and neutralizing threats in real time, reducing the risk of attacks and data leaks.

  1. HCI deployments in edge computing environments

The modular and scalable nature of hyperconverged infrastructure makes it an ideal solution to support edge computing. Organizations can extend their infrastructure to peripheral locations without the need to make large investments in conventional data centers, enabling real-time data processing and analysis close to where it is generated. This improves decision making by reducing latency.

In the EMEA region, more organizations are deploying distributed HCI for more localized data processing, decreasing reliance on centralized data centers. In sectors such as healthcare, this technology enables real-time analysis of patient data at the point of care, improving both medical outcomes and operational efficiency. In retail, edge-based solutions enable real-time inventory management and customer behavior analysis, thereby improving the shopping experience.

  1. Improving security with Zero Trust architectures

The Zero Trust approach is based on the principle of “trust no one by default,” which implies that all entities, both internal and external to the network, must be consistently authenticated and authorized before accessing resources. . HCI platforms are evolving to integrate these principles, using micro-segmentation to isolate workloads and limit the lateral movement of threats. In addition, they incorporate advanced features such as encryption, multi-factor authentication and continuous monitoring to reinforce security within the infrastructure.