- Three out of four organizations now use AI, 99% say that this will influence their renewals
- AI can help increase speed and precision, but human surveillance is crucial
- Many are still concerned about the confidentiality and cost of the data
Three out of four organizations (73%) worldwide have now integrated AI into their cybersecurity strategies, with heavy data industries such as financial services (82%) paving the way for adoption, has revealed new research.
A study by the Arctic Wolf added that most companies (73%) now use AI to automate their security operations for 24 -hour protection, but prevention and prevention of threats (72%) and the increase in detection capacities (70%) are also high on the priority list.
For the future, almost all (99%) of the 2,000 IT and security decision -makers interviewed said that the AI would influence their cybersecurity purchases or renewals over the next 12 months.
AI and cybersecurity are now peer
The Arctic Wolf highlighted the continuous importance of human surveillance – but by combining it with AI tools, companies can “reduce noise, reduce alert fatigue, speed up surveys and help security teams focus on stopping threats that matter.”
More than two thirds have agreed that AI needs substantial human contributions to be very successful, half (52%) planning to strengthen their cybersecurity teams for AI.
“The ideas of this report give leaders the data they need to make intelligent and targeted investments, the deployment of AI where it can provide measurable results, reduce alert noise and help security teams work with greater speed, precision and confidence”, the president of technology and services Dan Schiapa has summed up.
However, the same old challenges persist. We are talking about data confidentiality (33%), cost (30%) and concerns that AI does not fully meet the needs of the company (28%).
The Arctic Wolf also worries that a misunderstanding of IA skills can lead to new delays.
Fortunately, standard products directly integrate AI into cybersecurity solutions so that there is no need to learn new languages or request structures.
“Unless your organization seeks to build and develop its own models of artificial intelligence and automatic learning, most are very unlikely to be limited in their success due to a lack of IA expertise,” concluded the report.
