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Top 10 Key Technology Market Trends for 2025: A Forecast Analysis (5)

With the rapid development of global information technology, the field of information security is ushering in unprecedented challenges and opportunities. In 2025, the application of AI technology in information security will become more and more extensive, becoming a double-edged sword, which not only strengthens defense capabilities, but also brings new threats. According to TrendForce, the analysis of LLM creation risks, including the error output of operation inputs, the introduction of vulnerabilities in the training stage, the lack of complete access control, and excessive functional autonomy, are all information security challenges that enterprises must focus on when developing AI products and services in 2025.

Trends in the application of AI technology in information security

Empower operators

Gen AI technology enables operators to use natural language to search and respond to significant risks through automatic translation and aggregation capabilities. This capability greatly simplifies security operations and improves responsiveness and accuracy. For example, security teams can quickly identify and act on security incidents, reducing human error and response times.

Accelerate threat detection

Gen AI can guide users to find relevant vulnerabilities more quickly and recommend actions, significantly reducing the detection cycle. Through machine learning and deep learning algorithms, AI systems can analyze large amounts of data in real time to quickly identify potential threats and provide security teams with timely warnings and response recommendations.

Challenges posed by AI technology

The operation input produces an error output

During the training and use of AI models, improper operational inputs may lead to incorrect outputs. This not only affects the accuracy of the system's decision-making, but can also lead to security risks. For example, incorrect input data can cause AI systems to misjudge security threats and take inappropriate response measures.

Vulnerabilities are introduced during the training phase

If the training data of an AI model is vulnerable or maliciously tampered with, security risks may be introduced into the model. Attackers can exploit these vulnerabilities to launch attacks to bypass security measures. Therefore, it is critical to ensure the security and integrity of the training data.

Lack of complete access control

If the access control mechanism of an AI system is not perfect, it can lead to unauthorized access and data leakage. An attacker may exploit the vulnerability to gain access to sensitive data or control an AI system, causing a serious security incident.

Excessive functional autonomy

Excessive autonomy of AI systems can lead to more behavior than expected, leading to unpredictable security risks. For example, AI systems may act autonomously without adequate oversight, leading to system failures or security breaches. Therefore, there is a need for reasonable restrictions and monitoring of the autonomy of AI systems.

Figure: AI technology is a double-edged sword, strengthening defense and threat detection to deal with complex attacks

Figure: AI technology is a double-edged sword, strengthening defense and threat detection to deal with complex attacks

Information security development priorities in 2025

Software and hardware security in the era of cloud Internet of Things

With the widespread application of cloud computing and IoT technologies, the focus of information security has gradually shifted to the software and hardware security of cloud and IoT devices. Enterprises need to strengthen the security of cloud services and IoT devices to ensure the confidentiality, integrity, and availability of data.

Wide application of AI technology

AI technology will be widely used in information security, including anomalous behavior detection, threat detection and response, encrypted traffic analysis, automated penetration testing, and threat intelligence analysis. These applications will significantly improve security defenses, but they will also need to address new challenges brought about by AI technology.

Intelligent network attack and defense

The popularity of generative AI technology will make cyberattack and defense more intelligent. Attackers can use AI technology to generate more deceptive phishing emails and SMS messages to quickly iterate on malicious tools, while defenders need to use AI technology to achieve automatic analysis and response to improve the detection and response capabilities of security incidents.

Cloud security growth accelerates

As the pace of enterprise migration to the cloud accelerates, the cloud security market, especially cloud-native security solutions, will explode. Gartner predicts that the market size for Cloud Access Security Brokers (CASBs) and Cloud Workload Protection Platforms (CWPPs) will reach $8.7 billion by 2025, up from $6.7 billion forecast for 2024.

The growth rate of the cyber security talent and skills training market

While the cybersecurity industry has not been spared from the global tech layoffs, the cybersecurity talent and skills training market will "shine" in 2025 as the cybersecurity market recovers. Businesses need more specialized support to deal with increasingly sophisticated threats.

Conclusion

In 2025, the field of information security will face more complex and severe challenges. The widespread application of AI technology will bring new opportunities, but it will also need to deal with new risks. Enterprises need to strengthen the application and management of AI technology, improve security defense capabilities, and pay attention to the new challenges brought by AI technology to ensure the sustainable development of information security. Through continuous technological innovation and talent training, enterprises can better cope with future cybersecurity threats and ensure the security and stable operation of information systems.


Related:

Top 10 Key Technology Market Trends for 2025: A Forecast Analysis (1)

Top 10 Key Technology Market Trends for 2025: A Forecast Analysis (2)

Top 10 Key Technology Market Trends for 2025: A Forecast Analysis (3)

Top 10 Key Technology Market Trends for 2025 a Forecast Analysis (4)


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