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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). Journey Sciences (using graph and linked data modeling). Real-time sentiment analysis and response (social customer care). Conversational chatbots (using NLG: Natural Language Generation).

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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? A subscription model with annual or monthly payments is the most common licensing mechanism at this point. Do database activity monitoring systems need user behavior analytics features? How can database activity monitoring (DAM) tools help avoid these threats?

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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. IT projects also include deployment of AI-powered security solutions and other technologies that support a zero-trust security model. Foundry / CIO.com 3.

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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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What is a phishing simulation?

IBM Big Data Hub

Drafting: After forming a plan, security teams create realistic mock phishing emails that closely resemble real phishing threats, often modeled on phishing templates and phishing kits available on the dark web. One way to do this is by using phishing templates modeled after popular types of phishing attacks to target employees.

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