Artificial Intelligence tools can handle more data than human security professionals and find anomalies that are invisible to humans.
According to a recent survey of 400 security professionals conducted by Wakefield Research and Webroot, a provider of cybersecurity, 99 percent of respondents in the United States believe that artificial intelligence, in general, could improve the cybersecurity of their organizations and 87 percent. One hundred reports that their organizations are already using artificial intelligence as part of their cybersecurity strategy.
In fact, 74 percent of cybersecurity professionals in the US they believe that within the next three years their companies will not be able to protect digital assets without artificial intelligence (AI).
AI and machine learning are used to detect malware never seen before, recognize the suspicious behavior of users and detect anomalous network traffic.
According to the survey, 82 percent of US respondents, they said that artificial intelligence could detect threats that would otherwise be lost. But finding problems is only the first brick in the defensive wall.
Smart systems can also detect indicators that pose the greatest threats, suggest actions such as re-generating server images or isolating network segments, and even carry out remediation actions automatically.
Artificial intelligence can also collect and analyze forensic data, scan codes, and infrastructure for vulnerabilities, potential weaknesses and configuration errors, make security tools more powerful and easy to use and learn from experience to quickly adapt to the changing conditions.
All of that has the potential to dramatically improve user safety and user experience, said David Vergara, head of global product marketing at VASCO Data Security, which provides identity and authentication solutions to more than half of the 100 banks and financial institutions.
Measuring server temperature to detect problems
Smart systems can also detect behaviors that are too subtle for humans, said Terry Ray, CTO of cybersecurity provider Imperva.
For example, artificial intelligence (AI) and machine learning can be used to model hardware temperatures and compare them with typical activities or compare the access times of individual users with their peers to detect suspicious anomalies.
Larger and more forward-looking companies will invest heavily in the AI experience to gain an advantage from artificial intelligence. But even the smallest data center operators will benefit because most, if not all, major cybersecurity providers are adding AI to their products.