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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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Machine Learning Making Big Moves in Marketing

Rocket-Powered Data Science

Behavioral analytics (predictive and prescriptive). Agile analytics (DataOps). To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing).

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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

Does DAM need a user behavior analytics (UBA) module? Do database activity monitoring systems need user behavior analytics features? It may include a great deal of consulting and delivery of other security tools and data, such as dark web threat intelligence. This article will provide the answers.

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10 projects top of mind for IT leaders today

CIO Business Intelligence

Those projects include implementing cloud-based security, anti-ransomware, and user behavior analytics tools, as well as various authentication technologies. Prasad, other tech execs, IT researchers, and market reports cite multiple areas of increasing IT involvement in cybersecurity-related projects.

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How to handle a ransomware attack 

IBM Big Data Hub

Regardless of your decision, you should always consult with law enforcement officials and cybersecurity professionals before moving forward. 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.

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Spear phishing vs. phishing: what’s the difference?

IBM Big Data Hub

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. Based on projected results of a composite organization modeled from four interviewed IBM customers.

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Types of cyberthreats

IBM Big Data Hub

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. Based on projected results of a composite organization modeled from 4 interviewed IBM customers.

IoT 101