- Three out of four organizations now use AI, 99% say it will influence their renovations
- AI can help increase speed and precision, but human supervision is crucial
- Many are still concerned about data privacy and cost
Three out of four (73%) organizations worldwide have integrated AI in their cybersecurity strategies, with data industries with data such as financial services (82%) that lead the way with adoption, according to new research.
A study by Arctic Wolf added that most companies (73%) are now using AI to automate their protection safety operations throughout the day, but the prediction and prevention of threats (72%) and impulse detection capabilities (70%) are also high in the priority list.
Looking towards the future, practically all (99%) of the 2,000 decisions of IT and security respondents said that AI would influence their purchases or cybersecurity renovations in the next 12 months.
Ai and cybersecurity now go hand in hand
Arctic Wolf stressed the continuous importance of human supervision, but when combining it with AI tools, companies can “reduce noise, reduce fatigue alert, accelerate research and help security equipment to focus on stopping the threats that matter most.”
More than two thirds agreed that AI needs a substantial human contribution to be very successful, with half (52%) planning to increase their cybersecurity equipment for AI.
“The ideas of this report provide leaders with the data they need to make intelligent and specific investments, implementing where it can offer measurable results, reduce alert noise and help security equipment to work with greater speed, precision and trust,” summarized the president of Technology and Services, Dan Schiappa.
However, the same old challenges persist. We are talking about data privacy (33%), cost (30%) and concerns that AI does not fully meet commercial needs (28%).
Arctic Wolf also worries that a misunderstanding of AI’s skills can cause more delays.
Fortunately, products ready to use directly into cybersecurity solutions so that there is no need to learn new languages or consultation structures.
“Unless your organization seeks to build and develop your own internal models of artificial intelligence and automatic learning, it is very unlikely that the majority will be limited in their success due to the lack of experience in AI,” the report concluded.
