AI in Cybersecurity: Insights About Top Solution Categories
Summary
In case you missed them, here are the first three: • None The State of AI in Cybersecurity 2023: The Good News — and some Ongoing Challenges • None The State of AI in Cybersecurity 2023: The “Lake Wobegon Effect” — Where Every Enterprise is Above Average • None The State of AI in Cybersecurity 2023: Insights About Use Cases As part of our State of AI in 2023 dataset, Aberdeen asked respondents about the current and planned use of a dozen cybersecurity solution categories — selected in large part because, for several years, leading solution providers in these categories have already been incorporating traditional AI / ML-based capabilities: The rankings of these selected solution categories, in terms of current deployments among all respondents in Aberdeen’s study, are also shown above. The number of these selected solution categories currently deployed at a given enterprise ranges from 2 to 8 (median: 4) (statistically, this is the 90% confidence interval). Among the top 10 solution categories, most are part of the eight core cybersecurity capabilitiesOpens a new window that you’d expect enterprises to prioritize: • None We understand our environment’s systems, applications, and service providers. As we wrap up this 4-part series, it’s worth repeating that these selected solution categories have integrated traditional AI / ML capabilities — in which computers perform specific tasks based on pre-programmed rules and algorithms. Going forward, we can expect leading cybersecurity solution providers to incorporate net-new capabilities enabled by generative AI — for example, automated content creation (such as reporting and policy recommendations) or natural language interfaces to help technical staff accelerate their real-time research and investigations.