Nowadays, the development of self-driving cars is attracting people's attention, but the major impact of artificial intelligence and machine learning on enterprises is network security, especially in protecting data center networks. Given all the threats facing data centers, people urgently need help.
According to a recent survey of 400 security experts by Wakefield Research and network security vendor Webroo, 99% of respondents believe that the use of artificial intelligence can improve the overall network security of their organizations. 87% of respondents said that their organization has adopted artificial intelligence as part of their cyber security strategy. In fact, 74% of cybersecurity professionals in the United States believe that in the next three years, without artificial intelligence, their companies will not be able to protect the security of digital assets.
Artificial intelligence and machine learning are used to find malware that has never been seen before, identify suspicious user behavior, and detect abnormal network traffic.
According to the survey, 82% of respondents believe that artificial intelligence can detect threats that are ignored by people. The artificial intelligence system can also discover the indicators that pose the greatest threat, and suggest that staff re-image the server or implement operations such as isolating the network segment, and even automatically perform repair operations.
Artificial intelligence can also collect and analyze forensic data, scan code and infrastructure to find vulnerabilities, potential weaknesses and configuration errors, make security tools more powerful and easier to use, and learn from experience to quickly adapt to changing conditions.
David Vergara, head of global product marketing for security vendor VASCO Data Security, said: "All of this has the potential to greatly improve security and user experience, and provide identity authentication solutions for more than 100 banks and financial institutions around the world."
Security experts cannot cope with the problem of massive dataHe said that there is still some hype for artificial intelligence in the data center, but it is implemented based on real benefits. Artificial intelligence can center on convincing use cases, from improved situational awareness to trend analysis, from recommendation behavior to predicting failure, and detecting intrusions through abnormal pattern detection. "
One of the biggest advantages of artificial intelligence and machine learning is the ability to quickly process large amounts of data.
"The number of physical and virtual assets in data centers will continue to grow in the future," said Manoj Asnani, vice president of product and design at Balbix. "Without artificial intelligence, companies cannot be prepared for the ever-changing attack surface."
He pointed out that humans cannot process all information quickly, or respond quickly enough to cope with such risks.
Josh Mayfield, director of network security vendor FireMon, said that when the data center changes, it is complicated to change firewall rules artificially. With the help of virtual machines, micro-segmentation and on-demand computing, the configuration of the data center will be faster than the processing by the staff.
He said: "The capabilities of machine learning and artificial intelligence represent that people can do this. They recognize compliance in the data center, then adjust and write a new firewall rule to restore it. They choose one that needs to be in a series of Protect new applications under conditions, and automatically write the required firewall rules to strengthen the new applications moving from one data center to another, or within the same data center, and they write new firewall rules ."
Measurement server hotspot failureTerry Ray, chief technology officer of network security vendor Imperva, said that smart systems can also detect very subtle behaviors for humans. For example, artificial intelligence and machine learning can be used to model hardware temperature and compare it with typical activities, or compare the visit time of individual users with others to spot suspicious situations.
The largest and most forward-looking companies will invest heavily in artificial intelligence expertise to gain the advantages of artificial intelligence. But even smaller data center operators will benefit, because most, if not all, top cybersecurity vendors are adding artificial intelligence to their products.
Ray said: "If suppliers have not adopted some form of machine learning, they are likely to lag behind their peers."
This has led to the rapid spread of embedded artificial intelligence and machine learning in security technologies used in data centers. He said: "The IT applications of artificial intelligence and machine learning are growing at a faster rate than ever before."
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