1、The State ofAI&Automation inThreat IntelligenceInsights from cybersecurity executives and practitioners on implementation,trust,and impact.2025Research ContentContents03About the report04Executive summary05Survey demographics06Key takeaways07Section 1:AI and automation adoption in threat intelligenc

2、e15Section 2:Expectations,realities,and business value23Section 3:Implementation barriers and vendor requirements34Section 4:The impact of AI and automation on threat intelligence42Conclusion43About UserEvidence45About Recorded Future2025.All Rights ReservedContents02About the report.Over the last y

3、ear,we at Recorded Future have seen organizations focus on furthering their usage of AI and automation to respond to cyber threats faster and more efficiently.Given the current pace of adoption and the increasing number of conversations about AI and automation in the threat intelligence community,we

4、 wanted to separate the hype from the reality.To what extent do security teams use AI and automation in daily tasks or strategic initiatives?How does that change based on location and organization size?To aid in our research we commissioned a study with UserEvidence to survey over 520 cybersecurity

5、leaders across various industries and countries.The goal:to separate fact from fiction,get a pulse check on the current state,and understand the future expectations of AI and automation in threat intelligence.The process of integrating threat intelligence data into security operations in a way that

6、reduces or eliminates manual effort.The goal is to accelerate detection,investigations,and response by programmatically triggering actions based on intelligence.Automation Workflows.The ability to create AI-enabled outputs that enhance analysis,reduce cognitive load,and accelerate decision-making in