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AI and cybersecurity: A double-edged sword

CIO Business Intelligence

Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis. By leveraging machine learning algorithms, AI can analyze user behavior and network traffic patterns, identifying anomalies that might indicate insider threats or other malicious activities.

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The unfulfilled promise of automation: DNA matters

CIO Business Intelligence

AI-based analytics with predictable and actionable insights, machine learning and behavioral analytics, perdurable governance and possibly more are needed for an effective, truly autonomous enterprise. There is no doubt that automation powers the autonomous enterprise. We are not there yet.

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How to handle a ransomware attack 

IBM Big Data Hub

The photo will expedite the recovery process and help when filing a police report or a possible claim with your insurance company. IBM Security® QRadar® SIEM applies machine learning and user behavior analytics (UBA) to network traffic alongside traditional logs for smarter threat detection and faster remediation.