today’s hybrid that infrastructure is defined by the rise of remote work and cloud native applications, as well as the lack of a clear definition network perimeter. This gives rise to several key trends in the enterprise network security landscape.
Let’s dive into today’s most notable enterprise network security trends.
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What is enterprise network security?
Business networks need protection from potentially harmful traffic to function properly and efficiently. attacks using trojansPhishing and spyware, as well as the exploitation of vendor-specific vulnerabilities, can compromise information and applications transmitted and received over a network.
Enterprise network security refers to the preventive, real-time defense techniques implemented by businesses to protect their networks against threats capable of crippling their systems. Through a combination of people, IT software, hardware, and strategies, enterprise network security protects business-critical applications and information from threat actors.
Top Enterprise Network Security Trends
1) Zero Trust Architecture
The cost of a data breach report by IBM details that the average cost of data breaches reached an all-time high of USD$4.24 million. This increase, together with a greater sophistication of cyber attacksis driving a trend in which zero trust solutions replace conventional technologies to take the advantage away from threat actors and restore it to the organization.
As a network security philosophy, zero trust states that no one will be trusted inside or outside the network unless their identification has been thoroughly authenticated. Zero trust assumes that threats exist both inside and outside a network. It also treats every application or network access attempt as a threat.
The current rise in remote work is one factor enabling the rise in the implementation of zero-trust architectures, as organizations increasingly implement Internet-only configurations for at least some segments of their networks. This reduces the attractiveness of endpoints to attackers from the traditional “castle and moatThe security model is broken and the potential security weakness of the internal network perimeter is less so.
The greater visibility into network traffic, the increased ability for compliance auditing, and the greater control within a cloud environment that zero-trust architectures offer also contribute to the increased adoption of zero-trust security models.
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2) Artificial intelligence and machine learning
AI/ML for network security is also influenced by how threat actors implement AI and ML. It is becoming more and more common to find cybercrime based on AI and ML. As a result, AI/ML-driven network security solutions become imperative to level the playing field against constantly emerging and evolving AI-based threats. The need for AI-based network security is also highlighted by the need for the reliability it offers.
Businesses need solutions that overcome the limitations of human analysts, especially when humans perform analysis of complex data structures. Machine learning reduces the chances of human errors and unexpected failures. The threat detection and remediation capabilities of AI and ML-powered solutions offer organizations fast, real-time protection and the ability to analyze complex data sets without human intervention.
advanced analytics, AI and ML will continue to phase out generic threat sources and use digital security agents to offload comprehensive security tasks from human analysts. AI and ML security tools are also attractive to organizations today with their ability to reduce downtime of their customers’ digital infrastructure through their ability to simplify log management.
3) Proliferation of disparate network security tools
In an attempt to respond to an ever-evolving threat landscape and ever-expanding attack surface, network security has become more complex due to an increase in the number of offline network security tools. While these tools are designed to handle different use cases and threat vectors, they inadvertently end up making security operations more cumbersome.
Organizations must track the implementation, configuration, and operation of a variety of network security tools. Deploying many tools introduces redundancy in the infrastructure. Organizations can also increase their security costs if they don’t retire tools they don’t need.
Furthermore, this complexity is causing a growing imbalance between IT and operational technology. When these solutions work in silos, they result in the misaligned and restricted control and visibility needed to protect enterprise networks.
4) Third party security and interoperability
Organizations rely more and more on external providers. The third-party ecosystem for businesses continues to grow as companies feel the need to work with more third parties. Clearly, the cost of breaches to organizations goes beyond exposing data to loss of consumer trust and loyalty, tarnished reputations, and legal penalties for data privacy breaches.
As a result, there has been an increased focus on third-party risk management by organizations. Forrester predicts that around 60% of security incidents Will involve third parties. Large-scale attacks on suppliers will continue as threat actors focus more on targeting supply chains rather than, or in addition to, the companies themselves.
The lines between supplier risk and internal risk will continue to blur until they disappear; these risks are essentially merging. Additionally, this sets the stage for highly integrated technology ecosystems that will enable lower risk integrated security management.
See also: Major managed service providers
5) Hybrid network infrastructure
The ongoing migration to the cloud has contributed to the increasing complexity of cybersecurity as organizations migrate portions of their data, IT resources, and workloads to cloud infrastructure. Such hybrid environments are more difficult to protect as data is distributed across multiple platforms. The network security stack has become much more complicated.
With hybrid work models proving to be today’s new normal, networks must adapt in real time to applications, devices, resources, and workforces working from anywhere. Where legacy systems fall short in terms of cloud data monitoring, technologies like AI are capitalized on to improve cloud network security. Cloud network security solutions with multi-environment monitoring and analytics capabilities are growing in importance.
Distributed security models that offer the same security solutions in different environments are also becoming critical functions for protecting hybrid environments. Integrated security solutions will become essential for organizations. There is a need for security solutions that work together and provide visibility as a completely unified system to improve the effectiveness of their implementation in network security infrastructures.
6) Cybersecurity Awareness and Training
According to the Psychology of Human Error 2022 report, 88% of data breaches can be traced back to human error. The report also states that the shift to hybrid work models has altered the work behaviors and decision-making capacity of the workforce. Security mistakes often occur when employees are stressed, fatigued, exhausted, and distracted. Remote work environments have more distractions and affect the cognitive loads of employees.
Security mistakes, like falling victim to phishing emails, have increased. This is not helped by the fact that these attacks have become more difficult to discern without proper training and awareness campaigns. As a result, organizations are placing greater importance on human approaches to cybersecurity. It is not uncommon to find organizations that have mandatory cybersecurity training and education programs for their employees.
companies are doing cybersecurity awareness training to keep up with evolving threats and threat actors to your networks. Free cybersecurity resources are widely available now.
Additionally, cybersecurity awareness is proving to be more interactive and engaging through gamified training. Companies are also engaging everyone in these security programs to expand cybersecurity responsibilities to include more than just their cybersecurity teams. For example, organizations can go beyond their employees to offer these resources to their customers as well.
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Future of enterprise network security
As trends such as cloud computing, digital transformation and hybrid work continues to advance, the complexity of network security increases. Security teams need to focus on addressing the friction between themselves and network operations teams to reduce some of this complexity. This includes aligning issues such as different chains of command, communication gaps, and the use of disparate tools.
models in the Secure Access Service Edge (SASE) The category will continue to help enterprises align issues such as the use of heterogeneous tools by network and security teams through network and security convergence. They will continue to be attractive to businesses by improving security, offering greater agility, and helping businesses address network and security skills shortages.
We should also see more consistent and secure network policies to support the workforce, applications, and devices to enable flexible work models and optimize the effectiveness of work-from-anywhere models. Companies will also need to offer an increasingly consistent user experience and security across all work environments.