Augmenting Security with Artificial Intelligence
This IDC Perspective provides an overview of the evolving role of AI and ML in cybersecurity, emphasizing the importance of data management, standardized frameworks, and vendor capabilities. It highlights the integration of innovative AI capabilities into products from major vendors and stresses the need for robust data governance and effective data curation. The key AI techniques, such as ML, deep learning (DL), and user and entity behavior analytics (UEBA) are discussed, along with their applications in enhancing threat detection and response. The document underscores the necessity of staying informed about AI developments and understanding their impact on improving workforce efficiency and overall security posture.
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- How Do We Define Artificial Intelligence?
- Artificial Intelligence Definitions
- The Practical Applications of AI to Security
- User Behavioral Analytics
- Data Comes Before AI
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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