AI-Based Security Needs Context to Deliver Results
Artificial intelligence in security requires deep organizational context to produce accurate results, according to Lior Div, co-founder and CEO of 7AI. Div emphasizes the importance of teaching AI systems internal processes and historical patterns to avoid poor outcomes.
Lior Div, co-founder and CEO of 7AI, says AI-based security needs context to deliver results. Without context, AI may struggle to interpret data. Teams must teach AI systems internal processes and historical patterns. A structured knowledge graph is necessary to connect data, workflows, and historical insights. Security teams must extract expertise from analysts and embed it into AI defense tools. This approach improves AI accuracy and trust.
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