With the rapid development and widespread application of AI technology, security engineering projects have also undergone unprecedented changes. These changes are not only reflected in the technical application level, but also involve project management, personnel configuration, data security, and other aspects. These changes also bring new challenges and opportunities to the engineering business community.

Entering the second quarter of 2024, many listed security companies have released their annual and first quarter reports one after another. The revenue growth of top companies is relatively stable, but the overall structural changes in the market are still quite obvious. That is, security large particle projects from the government are still shrinking, while the enterprise level market is experiencing sustained growth under the trend of digitization.

The changes are more reflected in the conceptual definition and classification of the business section, while from the perspective of engineering implementation, the changes in the basic layer are not significant, only need to consider compatibility and linkage with more other systems to meet the digital needs of the scenario.

Security engineering has always been a very important part of the entire security market, and is the key to the implementation of various concepts. By definition, security engineering projects refer to engineering projects that utilize modern technological means to install, configure, and debug various security equipment and systems in order to improve security prevention capabilities, prevent and reduce the occurrence of security accidents. Its purpose is to protect people's lives and property safety, maintain social order and stability, and provide strong guarantees for social development.

With the rapid development and widespread application of AI technology, security engineering projects have also undergone unprecedented changes. These changes are not only reflected in the technical application level, but also involve project management, personnel configuration, data security, and other aspects. These changes also bring new challenges and opportunities to the engineering community.

New challenges in engineering projects

Innovation in Technology Application

The application of AI technology in security engineering projects has greatly improved traditional functions such as monitoring, alarm, and recognition. For example, throughDeep learningTechnology and security systems can automatically identify abnormal behavior and predict potential risks, thereby achieving more accurate security protection. In addition, AI technology can also be integrated and applied with technologies such as the Internet of Things and cloud computing, continuously generating new AIoT products and application scenarios. Faced with the continuous evolution of technological applications, engineering companies need to master richer technical knowledge and practical abilities, including AI algorithm research, software development, hardware equipment integration, and other capabilities. They need to be able to keep up with the development trend of AI technology, continuously apply the latest AI technology to the security field, and provide customers with more advanced, efficient, and intelligent security solutions.

The Transformation of Project Management

In the era of AI, the management of security engineering projects has also undergone profound changes. Traditional project management methods often focus on managing elements such as personnel, time, and cost, while in the AI era, project management places more emphasis on managing data, algorithms, and models. The project team needs to have rich data analysis and algorithm optimization capabilities to ensure the performance and accuracy of the security system. At the same time, with the expansion of project scale and the increase of complexity, project management also needs to pay more attention to team collaboration and communication to ensure that the project can be completed on time and with high quality.

Adjustment of personnel configuration

The application of AI technology has had a significant impact on the personnel configuration of security engineering projects. On the one hand, traditional security positions may be replaced by automation and intelligent technologies, reducing the demand for human resources. On the other hand, with the continuous development and application of AI technology, the demand for talent in security engineering projects has also changed. The project team needs to possess richer technical knowledge and innovative capabilities to adapt to constantly changing market demands and technological challenges

Challenges of Data Security

In the era of AI, security engineering projects are facing more severe data security challenges. With the increasing amount of data collected by security systems, how to ensure the security and privacy of data has become a pressing issue to be addressed. The project team needs to take effective measures such as data encryption, access control, and security auditing to ensure that data is not illegally obtained or abused. At the same time, it is necessary to strengthen personnel training and management, and enhance the data security awareness of the entire team.

How should engineering companies respond?

On the one hand, the application of AI technology makes security systems more intelligent and efficient, providing strong guarantees for public safety and social stability. On the other hand, with the continuous development of technology and changes in the market, security engineering projects are also facing more complex market competition and technological challenges. Therefore, project teams of engineering companies and integrators also need to maintain keen market insight and technological innovation capabilities, constantly adapting to and leading market changes.

In the era of AI, the core competitive points of security engineering companies are constantly emphasizing several aspects: technological innovation, data-driven, solution integration, service quality, and continuous learning. These core competitive points not only constitute the key elements for the success of security engineering companies in the AI era, but also important indicators that distinguish them from traditional security engineering companies.

Technological innovation is one of the core competitive points for security engineering companies in the AI era.With the rapid development of artificial intelligence technology, the security industry is undergoing unprecedented changes. Security engineering companies need to keep up with technological trends, constantly introduce new technologies, methods, and equipment to meet the market's demand for intelligent, efficient, and precise security solutions. For example, by applying technologies such as deep learning, big data analysis, and cloud computing, security engineering companies can develop more intelligent monitoring systems, warning mechanisms, and data analysis tools to improve the intelligence level and operational efficiency of security systems.

Data driven is another core competitive point for security engineering companies in the AI era.In the era of big data, data has become an important resource for the security industry. Security engineering companies need to be good at collecting, integrating, and analyzing various types of data. Through technologies such as data mining and machine learning, they can discover potential security hazards and risk points, and provide customers with more accurate and efficient security services. At the same time, data-driven approaches also help security engineering companies optimize product design, improve service quality, and enhance operational efficiency, thereby enhancing market competitiveness.

Solution integration.With the continuous development of the security industry, customers' demands for security solutions are becoming increasingly diverse and complex. Security engineering companies need to have strong solution integration capabilities, able to effectively integrate various security technologies, equipment, and systems according to customers' actual needs, and provide customers with one-stop and comprehensive security solutions. This requires security engineering companies not only to have rich technical reserves and project implementation experience, but also to have strong project management and team collaboration capabilities.

Service quality.In the fierce market competition, service quality has become an important factor affecting customer choices. Security engineering companies need to focus on improving service quality, including pre-sales consultation, in sales service, and after-sales service. By providing professional pre-sales consultation and technical support, security engineering companies can help customers better understand products and technologies, and choose the most suitable security solutions for themselves. During the sales service phase, security engineering companies need to ensure the smooth implementation and delivery of projects, and promptly address any potential issues and difficulties that may arise. In the after-sales service stage, security engineering companies need to provide timely and professional technical support and maintenance services to ensure the stable operation of the security system and customer satisfaction.

Market demand and innovative technology drive the continuous evolution of the industry market, and no one in the industry chain can remain unchanged. With the continuous development of technology and changes in the market, it is important for security engineering companies to maintain a continuous learning attitude and ability, and constantly update their knowledge and skill reserves. By participating in professional training, sharing and exchange, and technical seminars, security engineering companies can understand the latest technological trends and market trends, master new technologies and methods, and improve their professional competence and competitiveness.