Upgrading your SIEM for speed and precision

Sumo Logic consistently scales search capabilities with usage demands, ensuring reliable and rapid threat investigation even during high data-volume incidents.

Splunk can struggle under improperly scoped environments or unexpected spikes in usage, causing delays in threat investigation, potentially leaving security teams blind at critical moments. This is largely due to its legacy architecture, which is not cloud-native and lacks the elasticity needed to dynamically scale resources on demand. As a result, organizations often face performance bottlenecks during peak times unless they over-provision ahead of time—a costly and inefficient workaround.

Sumo Logic Cloud SIEM provides these capabilities natively, automatically alerting on new entities and behaviors without tedious manual intervention, dramatically streamlining early threat detection.

Splunk Enterprise Security lacks out-of-the-box “first-seen” detection, forcing analysts to manually build detection rules, manage multiple lookup tables, and rely on scheduled searches.

Sumo Logic offers integrated tuning expressions directly atop its provided content, ensuring customizations persist across automatic updates. This greatly simplifies maintenance and keeps detection capabilities current and effective.

With Splunk, rules must be cloned, modified separately, and manually updated, resulting in fragmented and challenging maintenance, which can introduce blind spots and operational inefficiencies.

Sumo Logic integrates automation, enrichment, and structured playbooks directly into the platform, significantly reducing operational costs, complexity, and response time.

Splunk requires an additional purchase (Splunk Phantom) for automation and enrichment capabilities, resulting in higher operational complexity and cost.

Sumo Logic supports immediate, continuous real-time alerts and searches, eliminating potential response delays and significantly enhancing overall threat management.

Splunk relies on scheduled alerts and searches, creating potential visibility gaps and delays in addressing emerging threats. This limitation stems from Splunk’s non-cloud-native architecture, which restricts its ability to process data streams in real time. This introduces inherent delays and reduces visibility during fast-moving security events, which can be detrimental in environments where every second counts.