Artificial Intelligence and Machine Learning allow us to make progress in the field of cybersecurity and anticipate threats before they attack our computers.
Artificial Intelligence (AI) has gradually entered our lives, both in our private and professional spheres. We use it through software, with virtual assistants, search engines, and voice and face recognition systems, among others. We also use it in robots, drones, and autonomous vehicles. But the use of these technologies also involves risk, as evidenced by the many cyberattacks that occur daily.
There is the idea that the development of Artificial Intelligence can expose us to some dangers when in fact it is used to keep us safe from hackers, viruses, and all kinds of computer attacks. Artificial Intelligence is the basis of the fight against cybercrime today. The threats to which we are exposed are so many that it is becoming increasingly difficult for us to locate them. In particular, Panda Security locates tens of thousands of new viruses every day and adds them to its database. “As much as cybercriminals want to misuse Artificial Intelligence, all the benefits it brings are infinitely greater. What’s more, the biggest effort we cybersecurity companies are currently making is to turn AI into our most powerful tool for tracking down the bad guys,” recalls Hervé Lambert, Global Consumer Operations Manager at Panda Security.
The use of cognitive technologies improves threat detection, shortens response times to defend against threats, and perfects techniques to distinguish between real attempts to breach a company’s security perimeter and incidents that can be ignored because they lack risk. If it weren’t for it, we would be totally exposed to cyberattacks by organized groups of hackers who have such cutting-edge technology that only Artificial Intelligence and Machine Learning are capable of identifying.
54% of cyberattacks seriously compromise companies’ systems within hours, yet 31% go unnoticed for at least a year. In this context, Artificial Intelligence is capable of reducing these times drastically. In the business world, there is an awareness that both Artificial Intelligence and Machine Learning allow us to anticipate threats before they attack our equipment. According to a recent survey of more than 4,500 technology managers in different companies, 45% of large companies and 29% of SMEs have already adopted Artificial Intelligence to secure their businesses. This is an upward trend that we must also adopt in our digital life.
However, just as cybersecurity companies use the latest technologies to defend society, cybercriminals use machine learning and deep learning techniques to carry out their cyberattacks. Their work is becoming increasingly sophisticated and they carry out attacks that are faster, better targeted, and more destructive. Traditional anti-virus and firewall methods have been vastly outpaced by hackers with advanced threats. For this very reason, we must have Machine Learning-based security measures that analyze attacks and learn on the fly to defend against them. The technology is so effective that it not only reduces the time window for threat detection, it even anticipates attacks that have not yet occurred.
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