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AI in security is not new. It has long been used for analytics purposes. However, new forms of AI — notably, generative AI — offer novel opportunities for identifying and tackling cybersecurity threats more efficiently and effectively.

IDC Survey Spotlight: Does the Frequency of Scanning Endpoints for Vulnerabilities, Patching Endpoints, and Auditing Users' Permissions Improve Security Outcomes?

• Honing your cybersecurity program with AI involves 5 essential steps: Establish a clear and comprehensive definition of AI Identify relevant cybersecurity use cases for AI in your business Maximize data collection and analytics Address novel risks posed by AI security tools Measure AI's impact and adjust as necessary
• Establish a clear and comprehensive definition of AI. - AI for cybersecurity provides functionality based on a range of structured and unstructured data. Avoid simply conflating AI with automation or algorithms. Both of these often use AI, but not all are AI, and AI goes far beyond them.
• AI can be a powerful tool to speed processes, reduce manual effort, and help overstretched teams. But it is not always the best solution. Just because something can be automated doesn’t mean it’s cost-effective to do so. Consider the business case and focus on value. This will put the organization in a better position to evaluate vendors and features, and how they fit into your existing framework and cybersecurity programs.
• Track metrics that quantify the efficiency and effectiveness of cybersecurity operations to assess whether the adoption of AI tools or features has actually moved the needle.

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