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The Future of AI-Driven Security Depends on Complete Data
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ai security
The Future of AI-Driven Security Depends on Complete Data
The article argues that traditional security logs and events provide an incomplete view of system activity and that artificial intelligence (AI)-driven security approaches require more comprehensive data collection to be effective. The piece challenges the long-standing industry practice of relying primarily on logs as the foundation for security analysis.
Why it matters: Security teams relying on log-based detection and AI models trained only on logs may miss attacks and threats; practitioners should evaluate whether their data collection and AI pipelines capture sufficient signal to detect sophisticated adversaries.
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