LogRhythm boosts security with data intelligence, AWS integration and compliance updates


Security intelligence firm LogRhythm Inc. today announced enhancements to its security solutions.

They include improvements to its Machine Data Intelligence Fabric, simplified data retention via Amazon Web Services Inc.’s S3, compliance frameworks for National Institute of Standards and Technology standards, and a JSON normalization wizard as part of security information and events management updates. JSON, short for JavaScript Object Notation, is a lightweight, text-based data interchange format that is both human-readable and machine-parsable, widely used for transmitting structured data over the web.

The enhancements to LogRhythm’s Machine Data Intelligence Fabric — a system that collects, organizes and structures diverse log sources into searchable, reliable datasets — are aimed at improving the the accuracy and reliability of data from diverse log sources to enable more precise search, analytics and investigation capabilities. The company also is aiming to boost the efficiency and effectiveness of security operation by helping analysts work with greater precision.

LogRhythm’s new data retention capabilities include streaming logs to AWS S3 to provide a cost-effective and efficient method for long-term storage and retrieval. The approach also includes support for businesses to meet compliance requirements and conduct forensic searches using their own cloud storage solutions.

For compliance frameworks for NIST standards, LogRhythm’s new release includes out-of-the-box compliance frameworks for NIST SP 800-171 and NIST CSF 2.0, allowing security analysts to generate evidence more quickly and accurately. NIST SP 800-171 and NIST CSF 2.0 are guidelines and frameworks established by NIST to enhance the security of controlled unclassified information and improve cybersecurity risk management, respectively.

LogRhythm’s new web-based JSON normalization creation wizard has been designed to simplify the process of customizing and normalizing JSON log messages. It’s aimed at helping users easily integrate diverse log sources, enhancing the accuracy and efficiency of data analysis and correlation.

The company was previously in the news in May when it was announced that the company is set to merge with security intelligence and management solutions startup Exabeam Inc. While the terms of the merger were not disclosed, the deal is expected to be completed in the third quarter, subject to regulatory approvals and customary closing conditions.

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