New trends are emerging frequently in the network security industry. After nearly three years of trend prediction and group comparative analysis, NSFOCUS Technology pointed out that in addition to the application of AI technology, data modularization, identity-first security measures and industry cloud platforms may gradually become Mainstream application directions.

The emergence of these new trends brings both development opportunities and risks and challenges.

NSFOCUS Technology has drawn some trend conclusions through professional research.

Over the past three years of the research period, the research was extensive and involved multiple cybersecurity-related projects across numerous enterprises.

The sample includes both large companies like Tencent and Alibaba, as well as many small startups.

With the widespread application of artificial intelligence technology, trends such as data modularization, identity-focused peace of mind strategies, and industry-specific cloud computing platforms have begun to emerge.

In terms of data modularization, it can optimize data management.

Identity security is equally critical and forms an important part of security for businesses. As the digital transformation of enterprises continues to advance, ensuring identity security has become particularly important.

NSFOCUS’s research shows various possibilities for network security.

At the practical level, companies can refer to these trends in future planning.

As companies build their cybersecurity architecture, they can incorporate these trends into their three-year strategic plans.

New technological development has two sides.

Like AI development, it provides convenience in many fields.

AI-assisted diagnosis in the medical field improves efficiency, and content recommendations in the Internet industry become more accurate.

However, security issues involved in AI arise.

AI systems may be subject to malicious attacks, leading to data leakage and endangering user privacy.

Similarly, there are two sides to the change in network security grid architecture.

It transforms the smallest unit of management from a firewall into a data set, which not only increases the level of granularity in management, but also creates new challenges. In the new architecture, if data security is not properly managed, risks will become more complex and management costs will increase initially.

In the ever-changing business environment, business adaptability needs are strong.

For example, in the financial industry, new services are constantly being launched, and the network security architecture needs to be quickly adapted.

Enterprises are encountering new challenges, especially in the field of Internet finance, such as when exploring innovative businesses such as blockchain.

Addressing these issues requires a technology architecture that supports fast, secure, and efficient application changes.

Building such an architecture involves many considerations, including technology and talent.

Looking back at history, around the year 2000, the Internet began to spread widely. At that time, it was undoubtedly a complicated task for enterprises to cope with business changes and establish a network security system.

Data structure issues need to be resolved urgently.

The current situation is that the volume and dimension of data are increasing, and many enterprises are facing the problem of data silos.

Taking e-commerce companies as an example, customer, order, logistics and other data work independently.

By elastically integrating data across platforms, different business needs can be met.

The effect of this method is obvious.

For example, after data integration, it will be more convenient for enterprises to carry out precision marketing.

At the same time, the operational efficiency of enterprises can be improved, such as smoother data interaction in supply chain management.

Enterprises face unprecedented challenges in ensuring a flexible operating environment.

Large manufacturing companies such as Foxconn, while pursuing digital delivery and improving efficiency, also need to ensure the stability of user experience, and face complex network security issues.

In the past, companies mainly used funds to update production equipment, but now, investment in network security layout is also rising.

And security capability building and security awareness enhancement are key investment directions.

Although there is no effect in the short term, in the long term it can avoid major risks such as data leakage.

For example, the Sony data breach ten years ago served as a warning.

Identity-first security is increasingly important to enterprise organizations.

With the development trend of distribution and modularization, the traditional boundary security field is gradually transforming into data as the new security boundary.

In corporate internal systems, identifying identity information has become a critical first step.

Such as identification when using enterprise office software DingTalk, enterprise WeChat, etc.

With the development of new technologies such as quantum computing, identity-related development is more proactive.

The identity structure immunity concept also attaches great importance to active defense, which includes the protection of existing and new IAM components, as well as component hardening.

Cybersecurity is facing rapid changes and major adjustments. How can enterprises comprehensively respond to the endless new trends and challenges?

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