Centralized log management answer supplier Graylog has announced its new security answer.
Dubbed Graylog Security, the new services addresses legacy security data and occasion management (SIEM) challenges.
In addition to above 50 security scenarios crafted upon MITRE ATT&CK and Intelligence Community benchmarks, Graylog Security contains device understanding-powered anomaly detection and person entity habits analytics (UEBA) capabilities.
“Too often, security analysts wrestle with SIEM and log administration solutions that are complex, gradual, noisy, rigid, unscalable, and highly-priced. Graylog Security overcomes these extensive-time troubles and provides the appropriate route for security achievement,” claimed Andy Grolnick, Graylog CEO.
In accordance to the agency, Graylog Security’s UEBA/Anomaly Detection features can lessen fake-optimistic security alerts by around 90%.
The platform’s equipment discovering engine self-trains after just seven times of historical information, providing businesses higher safety versus credential and insider threats, amongst other sorts of cyber attacks.
“With its ease of use, velocity, and proactive security that scales up and down, and constructed-in expertise that eliminates the want and charge of employing a Ph.D. Details Scientist, Graylog Security is the ideal answer for those new to SIEM or all those frustrated by their recent SIEM offerings,” added Graylog.
Also, Graylog Security’s risk types mechanically identify metrics centered on an organization’s priorities, making sure the most critical alerts are addressed to start with.
With its person-pleasant investigation capabilities and lightning-rapidly research motor, Graylog enables security teams to confirm the cause of security threats and reduce them instantly and efficiently.
Integration with Security Orchestration, Automation, and Response (SOAR) platforms are also supported. Eventually, Graylog’s new cyber security solution can also be accessed through its partner network.
Some areas of this write-up are sourced from: