A new survey reveals that although security leaders see AI as superior at identifying threats, the widespread adoption of large language models is not likely on the horizon.
Arctic Wolf recently published findings from an artificial intelligence (AI) survey conducted by CyberRisk Alliance of more than 800 senior IT and cybersecurity decision-makers at enterprise organizations across North America and the United Kingdom. The survey data sheds light on executive attitudes towards the current use of AI within cybersecurity, and the role AI will play going forward.
Key report highlights
- 22% of organizations have the majority of their cybersecurity budget dedicated to AI-powered solutions.
- 64% are highly-likely to add an AI-centric technology or solution to improve their cybersecurity readiness within the next year.
- 61% of respondents believe AI will outperform humans when it comes to identifying threats.
- 46% of respondents believe AI’s primary benefit will be the automation of response actions or repetitive task such as alert triage.
- Nearly 40% of respondents feel their teams lack the technical staff and skills required to manage AI solutions.
- 52% believe that cybersecurity outcomes enabled by AI tools will be more cost-efficient than that of humans.
- 13% of respondents view leveraging large language models to add context to existing data as a primary benefit of AI in their cybersecurity tools.
- The majority of executives surveyed believe human analysts outperform LLMs and other AI technologies when it comes to explaining context of threats.
