Tag: Security Analytics

By following the example of industry leaders with mature security analytics capabilities, less advanced organizations can improve SOC visibility and shift from reactive to proactive threat detection.

Not sure where to distribute IT budgets for ideal returns? Here's a roundup of the top 10 cybersecurity conference trips to make time for this year.

Armed with security analytics tools, organizations can benefit from big data capabilities to analyze data and enhance detection with proactive alerts about potential malicious activity.

Thanks to a wealth of new capabilities, security operations teams that leverage a cutting-edge SIEM platform are better armed to defend their organizations from advanced and insider threats.

Financial institutions seeking a piece of the hot P2P payments market must act to prevent network fraud with a multilayered prevention approach that includes a robust fraud detection engine.

User behavior analytics (UBA) is a good application, but it isn't a replacement for SIEM. UBA is more accurately described as a cybersecurity application that can be added on top of an SIEM tool.

One of the most crucial types of information for threat detection and incident response is network flow data, which has several unique properties that can help security analysts uncover attacks.

To move toward deep, advanced security analytics, CISOs should replace their fragmented tools with a platform-based approach that can leverage a broad set of data.

We've seen many changes in the SIEM and security analytics space over the last decade, but throughout that time, IBM QRadar has consistently innovated and led the market in addressing new threats.

DeepLocker has changed the game of malware evasion by taking a fundamentally different approach from any other current evasive and targeted malware. Here's what you need to know.