- Three out of four organizations now use AI, 99% say it will affect their renewals
- AI can help increase speed and accuracy but human supervision is essential
- Many are still concerned about data protection and cost
Three out of four (73%) organizations around the world have now integrated AI into their cyber security strategies, with data -heavy industries such as Financial Services (82%) leading with adoption, new research has found.
A study by Arctic Wolf added that most companies (73%) now use AI to automate their security operations for 24 -hour protection, but threat prediction and prevention (72%) and increase detection functions (70%) are also high on the priority list.
Looking ahead, virtually everyone (99%) of the 2,000 IT and security makers said that were investigated that AI would affect their cyber security purchases or renewals in the next 12 months.
AI and cyber security now go hand in hand
Arctic Wolf highlighted the continued meaning of human supervision – but by combining it with AI tools, companies can “cut through the noise, reduce alarm fatigue, speed up research and help security teams focus on stopping the threats that matter the most.”
More than two -thirds agreed that AI needs significant human input to make it very successful, with half (52%) planning to re -school their cyber security team for AI.
“Insight from this report gives leaders the data they need to make smart, targeted investments, implement AI, where they can deliver measurable results, cut through alarm noise and help security teams work with greater speed, accuracy and confidence,” summicized technology and services Dan Schiappa.
However, the same old challenges persist. We are talking about data protection (33%), costs (30%) and concerns that AI will not fully meet business needs (28%).
Arctic Wolf also cares that a misunderstanding of AI skills can cause further delays.
Fortunately, products outside the shelf integrate AI directly into cyber security solutions so that there is no need to learn new languages or query structures.
“Unless your organization seeks to build and develop their own internal artificial intelligence and machine learning models, most are very unlikely to be limited in their success due to a lack of AI-expertise,” the report concluded.
