Enhanced Network Visibility: Key Trends for 2024


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  • Network visibility in 2024: Cloud-based solutions and AI-driven analytics are transforming cybersecurity.
  • Distributed tracing and UEBA play a vital role in enhancing network visibility and security.
  • Automation is the key to rapid response and containment of cyber threats in 2024.

Network visibility in 2024 is set to revolutionize how organizations tackle IT security challenges. As the threat landscape continues to evolve, businesses seek proactive and holistic solutions to navigate the complexities of modern network environments. 

Cloud-based solutions transforming network visibility

In the fast-evolving world of IT security, 2023 brought a surge in ransomware attacks, complex hybrid and multi-cloud environments, and an ever-expanding attack surface. Organizations found themselves navigating these challenges with limited visibility and reactive threat detection. However, the dawn of 2024 promises a ray of clarity in the form of network visibility solutions.

One major trend gaining momentum is the adoption of cloud-based network visibility solutions. These solutions offer scalability, flexibility, and cost-effectiveness, making them suitable for organizations of all sizes. Having a unified, real-time view becomes paramount in a world where network environments blend on-premises, cloud, and hybrid infrastructure. A single pane of glass can provide comprehensive insights into network activity, eliminating the need for disparate tools and manual data consolidation.

For instance, a healthcare organization can employ a cloud-based network visibility platform to monitor its extensive network, comprising hospitals, clinics, and administrative offices. This platform can swiftly detect unusual east-west traffic within one of its hospitals, signaling a potential insider threat. Security teams can promptly investigate and identify the compromised device, preventing a data breach.

AI and machine learning at the helm

Another pivotal trend shaping network visibility in 2024 is the dominance of Artificial Intelligence (AI) and Machine Learning (ML). These technologies play a critical role in analyzing the vast data generated by today’s networks. AI and ML can identify subtle anomalies, automate threat detection, and even predict future security incidents.

Imagine AI algorithms continuously sifting through network logs, identifying malicious patterns, and automatically triggering alerts before attackers can inflict harm. For example, a financial institution employs an AI-powered network visibility solution to monitor its network for malware. The AI detects a previously unknown zero-day attack attempting to exploit a vulnerability in its trading platform. Swiftly, the AI triggers countermeasures, thwarting the attack and preventing potential losses of millions of dollars.

The rise of distributed tracing

As microservices architectures and containerization become more prevalent, the need for distributed tracing becomes evident. Distributed tracing provides an in-depth view of individual requests, making pinpointing performance bottlenecks and diagnosing application issues easier. Imagine tracing a customer’s online banking transaction across multiple microservices, identifying the exact service causing a delay, and resolving the issue swiftly.

For instance, an e-commerce platform utilizes distributed tracing to troubleshoot a sudden increase in abandoned carts. The tracing reveals a slow API call in the payment gateway is causing the delay. Developers can promptly address the API issue, resulting in a smoother checkout experience and increased sales.

Focus on User and Entity Behavior Analytics (UEBA)

2024 User and Entity Behavior Analytics (UEBA) will gain prominence. Traditional security solutions often focus on network anomalies while overlooking user behavior, potentially leaving blind spots. UEBA provides valuable insights into user activity and identifies suspicious behavior that might otherwise go unnoticed.

Consider a scenario where UEBA detects an employee accessing unauthorized data or unusual activity from a compromised executive account, even if the network appears normal. A manufacturing company employs UEBA to monitor employee access to sensitive production data. The system detects an authorized employee attempting to download many confidential schematics outside of regular working hours. Security teams can investigate and potentially prevent industrial espionage.

Embracing automation for rapid response

In an era of lightning-fast cyberattacks, manual security processes are becoming obsolete. Automation takes center stage in 2024, with solutions automatically responding to threats, remediating incidents, and deploying security patches without human intervention. This automated response ensures that attacks are contained swiftly, minimizing damage and allowing security personnel to focus on strategic tasks.

For instance, a hospital network utilizes an automated incident response platform. When a ransomware attack is detected, the platform automatically isolates the infected devices, rolls back affected systems to clean backups, and notifies security teams. This rapid response prevents the attack from disrupting critical patient care services.

The future of network visibility

As 2024 unfolds, network visibility transforms from a luxury to a necessity for organizations grappling with evolving IT security challenges. By embracing the trends outlined in this article, businesses can achieve unprecedented clarity and control over their networks. These proactive measures mitigate threats, enhance performance, and safeguard critical data and assets.

Network visibility in 2024 offers a holistic and AI-driven approach, enabling organizations to stay ahead of the ever-evolving threat landscape. With cloud-based solutions, AI and ML-powered analytics, distributed tracing, UEBA, and automation, 2024 has the potential to mark a significant shift towards a more secure and efficient digital landscape. It is the year organizations can finally cut through the network fog and gain a clear view of their digital assets.

Disclaimer. The information provided is not trading advice. Cryptopolitan.com holds no liability for any investments made based on the information provided on this page. We strongly recommend independent research and/or consultation with a qualified professional before making any investment decisions.

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Glory Kaburu

Glory is an extremely knowledgeable journalist proficient with AI tools and research. She is passionate about AI and has authored several articles on the subject. She keeps herself abreast of the latest developments in Artificial Intelligence, Machine Learning, and Deep Learning and writes about them regularly.

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