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AI technologies for studying, detecting and preventing suspicious and dangerous activity can evolve over time and become better the longer the corresponding applications or solutions are used. This way, you will have at your disposal a cybersecurity system that automatically adapts to your requirements, as opposed to traditional ready-made antivirus solutions, which are no longer sufficient given the huge variety of threats around you.

In an interview with ZDNet, Paul Martini, CEO and co-founder of cloud gateway and security firm iboss, noted that enterprises are experimenting with these types of technologies to "alleviate the talent pressure associated with the well-known cybersecurity skills shortage."

Cybersecurity Ventures estimates that there will be 3.5 million unfilled cybersecurity positions by 2021. To make matters worse, only 43% of IT staff have the cybersecurity expertise needed to perform their job responsibilities, according to a Capgemini report.

centers, and IT organizations are trying to fill this gap, AI and ML norway whatsapp data can relieve some of the pressure that enterprises currently face to secure data and networks.

“AI, predictive analytics, and automation will enable security teams to leverage technology and do more with less,” says Martini. “AI and predictive analytics are critical to increasing value because they reduce false alarms and eliminate time-consuming manual tasks.”

“When it comes to cloud services, AI and predictive analytics can leverage network anomaly detection not only for security issues but also for performance issues like latency,” he added. The scope of these technologies is broad, but “any technology that takes the load off your IT and security teams is extremely useful.”