Graylog Redefines SIEM with More Efficient and Effective Threat Detection

Graylog Introduces Advanced Data Routing to Align Costs with Data Value

Graylog, a leader in Threat Detection, Investigation, and Response (TDIR), today unveiled significant security advancements to drive smarter, faster, and more cost-efficient security operations. The company’s latest capabilities include advanced data routing, asset-based risk scoring, and AI-generated investigation reports.

These enhancements, and many others in the Fall 2024 release, help organizations realign their time and financial investment with security objectives, empowering security teams to confidently reduce risk. With a detailed understanding of the threat landscape at both user and system levels, Graylog enables organizations to make more informed decisions about their security posture and respond more effectively to potential threats.

Exclusive to Graylog is its native advanced data routing that enables practitioners to send lower-value “standby” data to inexpensive storage before it is indexed by Graylog. Standby data is available for retrieval into Graylog for future incident investigations. This classification shifts the typical SIEM license model to more accurately align with the overall value of the data. Security and IT operations teams can now invest time and money in the value of the data sent, processed, and stored while minimizing the number of technology solutions managed.

“A challenge with SIEMs has been the need to bring in all the data from log sources as if all the log messages are of equal value,” said Seth Goldhammer, vice president of product management at Graylog. “Of course, if a log message is dropped, it is gone forever. Our new data routing removes this compromise, allowing practitioners to bring in all the data and only pay for the log messages delivering value.”

Graylog's asset-based risk modeling finds related security events across attack surfaces and prioritizes what should be investigated with context such as vulnerability state, variance, and API risk. Instead of thousands of daily alerts requiring individual triage and investigation, Graylog prioritizes the high-risk users and systems for security analysts, grouping together multiple alerts and context to expedite the investigation.

Graylog’s Fall 2024 release includes a timeline visualization of events and leverages GenAI to summarize these details, including impact analysis, into an incident response report to further aid with those investigations and save analyst time.

To learn more about these new capabilities, attend Graylog’s free virtual user conference, Graylog GO, which will be held Oct. 23 - 24. To view a demo of the award-winning platform, visit See Demo.

About Graylog

Graylog empowers security teams with cutting-edge, scalable solutions that make threat detection, investigation, and response (TDIR) faster, smarter, and more efficient—keeping organizations ahead of ever-evolving cyber threats. Trusted by over 50,000 organizations worldwide, Graylog combines machine learning for anomaly detection, real-time monitoring, and AI-assisted investigation tools to help teams streamline workflows, reduce alert fatigue, and optimize security operations—all while keeping costs in check. Learn more at graylog.com or connect with us on X (Twitter) and LinkedIn.

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