Gartner® Emerging Tech: Top Use Cases for AI in Threat Detection, Investigation and Response
Download one of the latest "Emerging Tech" reports from Gartner highlighting "Top use cases for AI in the TDIR process emphasize the continued need for human engagement. Security product leaders should reinforce strategy and plans for AI integration with insight from interviews with over 50 security providers to augment analyst capabilities and drive solution differentiation."
Report Key Findings
More than 50% of interviewed security providers claim to already be using supervised machine learning (ML)-based AI to enhance their threat detection capabilities.
Over 80% of security providers are actively developing, or have plans to integrate, large language models (LLMs) into their security platforms.
Although adoption and use of AI technologies are widespread and growing, security providers are doing so with caution due to concerns about client data exposure, the correctness of AI content and the potential risk of negative impact on remediation actions.
The use of AI by malicious parties is accelerating the evolution of their attack capabilities and compelling security product leaders to adopt and implement AI technologies more quickly to respond with improved threat detection, investigation and response (TDIR) solutions.
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