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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. DDR detects anomalous or suspicious data behavior that may indicate insider threats or other data security risks.

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Cybersecurity for enterprise: 10 essential PAM considerations for modern hybrid enterprises

CIO Business Intelligence

You must also understand how moving to cloud drives changes in enterprise cybersecurity—how to protect those resources, drive down risk, and improve productivity. What’s the best return on our cybersecurity investment that takes the biggest bite out of cyberattack risk? What attack surfaces are exposed? For example, PCI-DSS, the U.S.

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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. The post How to handle a ransomware attack appeared first on IBM Blog.

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What is a phishing simulation?

IBM Big Data Hub

They also help security teams pinpoint vulnerabilites, improve overall incident response and reduce the risk of data breaches and financial losses from successful phishing attempts. appeared first on IBM Blog. How do phishing simulations work? The post What is a phishing simulation?

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The Evolution of Access Management in IAM

CDW Research Hub

Adaptive MFA is extending the MFA capabilities to utilize user behavior and context into the decision. Adaptive MFA builds a risk profile of a user based on a matrix of variables. Using this risk profile, the application can generate additional authentication requirements before a user is allowed access. Reduced risk.

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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. appeared first on IBM Blog. Register and download the study The post Spear phishing vs. phishing: what’s the difference?

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Why Ransomware Groups Are Scarier Than Their Attacks

CDW Research Hub

Does this mean that the risks of ransomware have been overhyped? Our security experts work with you to validate your tools and processes and uncover gaps that increase your risk. User and entity behavior analytics (UEBA). Advancing your ransomware protection should include behavioral detection methodologies.