Sumo Logic announced a new cloud SIEM solution to democratize security analytics across IT, breaking down legacy silos with new cloud models, including DevSecOps.
The solution delivers native elastic scale for on-demand security analytics capacity and deployment agility, enabling new horizontal, collaborative and scalable workflows across security, IT and all lines of business. In addition, workflows, content and analytics assimilate growing threat surface areas spanning the cloud, modern applications and infrastructures. These capabilities enable the linkage of upstream emerging DevSecOps models with the downstream security operations center (SOC) workflows, closing the loop for adaptive cloud scale defense.
Legacy security analytics tools, including security information and event management (SIEM) services, are failing to provide the insights organizations need to effectively manage security and compliance in the cloud, as was highlighted in a recent survey conducted by Dimensional Research and sponsored by Sumo Logic. According to the survey, 93 percent think current SIEM solutions are ineffective for the cloud, and two thirds identified the need to consolidate and rethink traditional tools.
Organizations that are creating and moving applications, infrastructure and workloads to the cloud need a cloud-native solution that is fluent in both cloud infrastructure and application stacks in order to tightly managing their security and compliance in these increasingly mainstream environments.
Sumo Logic’s new cloud SIEM solution enables highly scalable, accelerated next-generation detection and investigation for the rapidly evolving and expanding threat surfaces of cloud and hybrid environments.
As part of a rich partner ecosystem, Sumo Logic has extended its integrations across cloud, applications, infrastructures and endpoints including Amazon Web Services (AWS) GuardDuty, Carbon Black, CrowdStrike, Fastly, Okta, OneLogin, Palo Alto Networks, zScaler and more, to give users broader visibility, context and analytics to rapidly discover trends, anomalies and outlier events that may be indicators of threat activities in the environment.