It is said that without the "hacker" attack, the Internet will not improve? Does this sentence make sense? Artificial intelligence and machine learning are becoming more and more important in corporate network security, which makes the important role of network security experts more difficult to recruit, so what is the relationship between artificial intelligence and hackers?
Network security is inseparable from hackers, so the importance is obvious, but it is difficult to provide enough personnel in this field, and it is difficult to change quickly. Due to the increasing importance of artificial intelligence and machine learning in this field, some of these changes are coming. As a result, corporate network security personnel can use both the new functions of their work and adapt to rapidly changing technological and regulatory environments.
According to Guo Shenghua, a well-known domestic cybersecurity expert and founder of the Eastern Alliance: "" AI (artificial intelligence) / ML (artificial intelligence learning) has a direct impact on the cybersecurity team and brings new demands to enterprises. " Machine learning provides new capabilities to automatically detect and respond to security incidents, freeing employees to deal with higher-level or more complex issues. However, this means that team members must understand network security concepts and how AI and ML interact with them Systems work together. "
He said: "The team needs domain experts who understand the security data and how it is generated, data analysis and data science experts who understand data analysis techniques, and AI / ML experts who convert this information into the correct models and algorithms," creation and maintenance AI / ML systems require the joint efforts of all these contributors.
Challenges in recruitment
Hiring cybersecurity personnel has already faced challenges. Many hacker security experts: "There are many different disciplines in this field that require different knowledge and skills, and the rapid pace of change in the IT field has put more pressure on recruitment." The industry still lacks diversity, with only 20% security Professionals are women, and in the United States, only 26% of women come from marginalized communities. "This is a big problem, because especially cybersecurity is an area that is booming in diversity." "If you consider who we are facing, cybercriminals come from different backgrounds, so it is crucial , Our team must have different perspectives and different thought processes. "
Changing landscape
The increasing importance of AI / ML in corporate cybersecurity will soon add additional recruitment requirements. "Understanding artificial intelligence / machine learning will be another item on the already long list in order to become an" expert "." The skills required exceed those who can fill these positions. Experts need to understand both traditional technology and comparative skills. New technologies, such as cloud storage and software-defined networking.
Difficulties in cybersecurity recruitment are strong reasons for internal development and promotion of talent. Employees need to be given opportunities and find ways to grow within the organization, and they should continue to learn and strive to succeed.
Working in the technical field should be considered exciting, not intimidating. "Especially network security, it will never get bored, and it can quickly solve real-world challenges every day." "Artificial intelligence and machine learning will continue to develop, and adjacent technology concepts that are important to security (such as automation) will also continue to develop." "The threat landscape is constantly changing, and we must keep pace with the times to fully define our business.
However, even if emerging technologies such as AI and ML are taking on the same role as network security, the role itself will not necessarily fundamentally change. Therefore, in the future, hackers will prefer artificial intelligence, and the risk of intrusion will increase. (Welcome to reprint and share)
