How Artificial Intelligence Is The Future Of Cybersecurity
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Recently, I have been talking about network security, but do you know what is the current state of the network in the market?
● There are a total of 10 billion devices on the current network, and the market is facing numerous challenges;
● By 2020, when the number of devices on the network will increase by 50 billion, the challenge will only become more severe...
2016 is the year of the explosion of security + machine learning + artificial intelligence.
Global network spending in 2020 is expected to reach 170 billion US dollars, and no one wants to give up this big cake. Network security has also become a new arena for startups to compete.
Where is the future of cybersecurity?
Big talk: Artificial intelligence is the future of network security.
In recent years, more and more companies have begun to use AI to combat cyber hacking. Baidu safely uses machine learning to detect illegal web pages; Alibaba uses real-time computing platforms on the cloud and machine learning capabilities to defend against website attacks.
AI provides new ideas for network security, and the complex network environment continues to force technological innovation. Research organization Gartner predicts that by 2018, there will be 6 billion devices using AI technology in the world. With the application of big data, AI gradually entered millions of households and showed a huge market space.
What is artificial intelligence?
Artificial intelligence is a new technological science that studies and develops theories, methods, technologies and application systems used to simulate, extend and expand human intelligence. Artificial intelligence includes a very wide range of sciences. It is composed of different fields, such as machine learning, computer vision, etc. Generally speaking, one of the main goals of artificial intelligence research is to make machines competent for some tasks that usually require human intelligence. Complex work.
Network security turns passive defense into active intelligence
Nowadays, network security has entered the era of machine learning and artificial intelligence. The defense system is implanted in applications to realize 7*24h defense, and the virus database is compared and updated in the first time, turning passive defense into active intelligence.
Based on big data analysis and machine learning algorithms and models, it can recognize, understand, analyze, and respond to security threats, and solve the real-life scenarios of automatic enhancement of protection requirements from discovery, judgment to risk prevention. A new type of defense security defense platform based on this technology.
A WEB application layer security service solution that combines artificial intelligence and security protection, integrating security monitoring, attack analysis, intelligent defense, application scanning, cloud reinforcement, and defense alarms, with the help of its defense that is directly injected into the application access node Interception measures can accurately detect attacks, intercept attacks, and repair vulnerabilities.
Among them, the intelligent defense module performs security verification on the matching of risk characteristics of all web application requests initiated by users, and performs intelligent filtering and replacement of risky parameters, characters, and files, to ensure that only secure network requests can Through web applications, an application layer defense line is built for the robustness of web applications.
Gartner analyst and researcher Joseph Feiman found after a lot of investigation and research, he proposed the concept of RASP Real-time Application Self-Protection (Runtime Application Self-Protection), so that applications have the ability to protect themselves like a human vaccine.
Skink’s embedded security script uses RASP technology to effectively integrate security control and protection technology with the user’s own application, thereby forming a new code-level self-robust protection system. Compared with traditional Web security protection technology, it has low false alarms, Significant advantages of low cost, high coverage, high compatibility, and deeper protection.
Artificial intelligence builds a solid wall for network security. At present, various "black technologies" in the field of artificial intelligence have brought new ideas to network security. The application and expansion of AI technology in the field of security is worth looking forward to.
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