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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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2 Innovations That Can Tip the Balance in Cybersecurity

CIO Business Intelligence

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. But improved use of automation — combined with software-based advanced analytics — can help level the playing field. Why is this so important?

Software 145
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10 projects top of mind for IT leaders today

CIO Business Intelligence

From AI and data analytics, to customer and employee experience, here’s a look at strategic areas and initiatives IT leaders expect to spend more time on this year, according to the State of the CIO. Risk management came in at No. 1 priority among its respondents as well. Foundry / CIO.com 3. For Rev.io

IT 142
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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? What is the role of machine learning in monitoring database activity? Do database activity monitoring systems need user behavior analytics features? How can database activity monitoring (DAM) tools help avoid these threats? How do DAM solutions work?

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How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?

Smart Data Collective

The Next Gen SIEM solution pairs advanced machine learning and AI-powered data management with continual threat detection to uncover the early signs of malicious activity and mitigate issues or report them to the security staff in time. What is it exactly, and how does it facilitate the jobs of modern security professionals?

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How to use data detection and response (DDR) to gain early warning into data leakage from insider threats

Laminar Security

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. SIEM can also lack the context and intelligence to identify insider threats or other data security risks.

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How to handle a ransomware attack 

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.