Gurucul has been named a Visionary for the second year in a row in the 2022 Gartner Magic QuadrantTM for Security Information and Event Management . In fact, Gurucul has moved furthest to the right beyond any other competitor in completeness of vision across the whole 2022 Gartner Magic Quadrant
We believe the report validates that – based on evolving security operations needs – Gurucul has the most comprehensive and innovative Next Generation SIEM available in the market.
Why We Believe Gurucul Extended its Placement as a Visionary to Furthest Right In 2022 gartner magic quadrant
“We believe that other SIEM solutions produce an overwhelming number of unprioritized alerts, which leads to security teams chasing false positives, inaccurate and slower detection, investigation and response and escalating costs.” – Saryu Nayyar, CEO, Gurucul
Any Data Source, All You Can Ingest
Because of Gurucul’s investment in building a true trained machine learning (ML) engine versus a rule-based engine, which is what most other vendors primarily rely on, we are focused on ingesting data from any source.
Going beyond that, we have built an automated data interpretation engine for virtually eliminating the need to create custom parsers for new and unknown data sets (i.e., IoT devices, ICS, medical applications, HR and Supply chain apps, cloud-based apps, etc.). The more data you feed a true ML engine, the better it adapts to your current environment to reduce unnecessary escalation of alerts and false positives.
We also built true 100% cloud native solutions for AWS, Azure, and GCP that work as a pure SaaS solution or seamlessly as a hybrid deployment, as we support on premises equally. We also do not penalize customers for this “extra” data, especially due to cloud migrations as we charge based on number of assets monitored, not data processed.
Unified Analytics and Threat Models for Identifying the Full Scope of an Attack
Gurucul offers the most comprehensive set of advanced security analytics that goes beyond traditional rule-based pattern-based detection. The Gurucul difference is that our analytics are not operating in silos leaving analysts to piece together whether they are truly related. With Gurucul, you do not have to gather additional context to understand and validate that presented threat events are part of a broader attack campaign or lower-priority isolated incidents.
Gurucul’s machine learning capabilities constantly evaluate new data and new data sources and analyze all the data to link together findings and model the full campaign as it evolves. With full transparency in our models and context, even as they improve through continuous learning, we drastically reduce both detection and investigation time, while providing confidence in our findings, basically eliminating false positives. In addition, with our 12+ years in developing analytics and especially user and entity behavior analytics, our models and machine learning capabilities have been matured and battle-tested to ensure high accuracy.
Dynamic and Accurate Risk-Driven Response
As Gurucul provides a full understanding of the entire attack campaign with context and analytics, we also build a precise set of workflows and case management actions, or playbooks, that are dynamically structured based on what we’ve learned about the specific customer environment. The response capabilities are then prioritized through our enterprise-class risk engine, that leverages multiple threat intelligence sources, and scored to guide analysts in achieving maximum efficiency and minimal disruption when doing remediation.
Out-of-the box, Gurucul includes hundreds of playbooks with workflows for automating incident response actions. It doesn’t stop there. Customers can customize existing machine learning models and associated workflows that lead to targeted playbooks or create their own custom playbooks to address their specific challenges and concerns before our learning capabilities adapt to our continuous findings.
Why Choose Gurucul for SIEM?
Gurucul Next-Gen SIEM is touted for increasing security operations efficiency by:
- Reducing alert and false positive fatigue
- Eliminating manual tasks through automation
- Drastically improving threat detection
- Prioritizing, and accelerating investigations
- Providing contextual risk-driven response capabilities
As a 100% (multi-)cloud-native, hybrid and on-premises solution, it has proven to be the right choice for security operations looking to successfully monitor for and prevent attacks as organizations continue to move applications and infrastructure to the cloud.
Source: Gartner, “Magic Quadrant for Security Information and Event Management,” Pete Shoard, Andrew Davies, Mitchell Schneider, 10 October 2022.
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