Free Services to help you during COVID-19 Learn More

Support Request a Demo Contact Us Blog

Gurucul SIEM

 Cloud Native Analytics-Driven SIEM:
Going Beyond Conventional SIEM with Advanced Behavioral Analytics

Conventional SIEM technologies focus on Events, providing filtering, rules, and basic analytics to display events. Unfortunately, most SIEM products still deluge the Security Operations team with a flood of information, which makes it hard to prioritize events by their actual risk. It is a matter of perspective. The conventional SIEM paradigm is to present Events and Incidents, as identified by rules-based analytics, without context.

Gurucul takes a different approach. Ours is a highly versatile beyond Next-Generation SIEM powered by the Gurucul Risk AnalyticsTM platform. By leveraging Artificial Intelligence and Machine Learning on massive volumes of data in a vendor agnostic data lake, Gurucul delivers all the features expected from a SIEM platform and adds capabilities that no conventional SIEM platform can match. Gurucul focuses on risk as identified by user and entity behaviors.

Collect, Detect, Investigate, and Respond

Gurucul SIEM’s core architecture gives you the ability to collect data from any source, analyze that data to highlight risks in ways conventional SIEM’s can’t, and respond automatically even to previously unknown threats.

Gurucul SIEM Capabilities & Components

Gurucul SIEM Core Capabilities

Gurucul’s Cloud Native Analytics-Driven SIEM is a centralized, end-to-end, cybersecurity product that delivers multiple advanced capabilities.

Threat Intelligence
Threat Intelligence

Integrating threat intelligence feeds into the security stack can improve overall effectiveness, efficiency, and performance. Gurucul’s SIEM allows direct integration of an organization’s threat intelligence feeds regardless of the source or data volume.

Log Aggregator
Log Aggregation Management

Cybersecurity systems can generate, and ingest, massive amounts of log data.  Managing that data can be a challenge, but Gurucul’s platform simplifies log management without compromising its ability to provide accurate and effective analysis and reporting.

circle chart graphic
Correlation / Link Analysis

Correlating disparate events is the key to providing context and an accurate risk assessment. Gurucul’s solution goes beyond conventional next generation SIEM platforms by correlating and analyzing events across the entire environment to deliver a consolidated view of the entire threat situation. Where other systems will show the individual events, Gurucul can correlate them to provide context.

Security Analytics
Security Analytics

Gurucul’s Next Generation SIEM brings advanced Security Analytics capabilities that other SIEM platforms can’t match. Leveraging Artificial Intelligence and Machine Learning on a vast data lake, Gurucul brings context to an otherwise siloed security picture.

UEBA
UEBA

Behavioral Analytics is the core capability that sets Gurucul’s SIEM apart from other platforms. By recognizing unusual behaviors, Gurucul can deliver risk-prioritized information that is often lost in a flood of alerts. Rather than seeing a sea of alerts, SecOps personnel see the risk imposed by users and entities in the environment.

AI Based Predictive Threat Hunting
Threat Hunting

Attackers can be like rodents. If you see one, there are probably others in hiding. That is why Gurucul SIEM’s Threat Hunting capability is important. Gurucul improves threat hunting by revealing risky behaviors and giving the SecOps analysts the tools they need to identify other related threats. Where you have seen one, you can now identify others.

Network Traffic Analysis
Network Traffic Analysis

Unusual network activity can be an early indicator of a malicious actor in the environment; however, it can be hard to identify without context. Gurucul’s SIEM platform can identify outlier behaviors in network traffic, revealing risks from users, systems, or in the traffic itself, by delivering the context needed to highlight the risk

Sentiment Analysis
Forensic Analysis

Gurucul’s SIEM platform can enhance forensic analysis. By identifying risky behaviors and delivering context, the platform gives the SecOps team a starting point for their investigation and consolidates all of the associated events into a coherent whole. Context makes the investigation more efficient, and more effective.

Search and Data Exploration Miner
Search / Data Exploration Miner™

With a vast amount of data compiled into a SIEM, it can be difficult to find the exact data that’s needed. Gurucul offers an integrated “Natural Language” search capability that lets analysts explore the entire data lake to find related events, giving them context as well as insight into their organization’s security situation.

Incident Response Management
Incident Response Management

Identifying an incident is only the first step. Gurucul gives SecOps the tools they need to manage their response to an incident efficiently, and effectively. By automatically creating tickets within the platform, Incident Handlers can coordinate their response from the initial event through the eventual mitigation and remediation steps.

Security Automation Orchestration
Security Automation Orchestration

Gurucul’s SIEM offers advanced orchestration and response capabilities, something we call Intelligent Orchestration. Providing contextual risk scores is just the start. By adding orchestration capabilities, an organization can react automatically to mitigate risky behaviors at the first indication of a security breach.

Compliance Reporting
Compliance Reporting

Regulatory compliance can be a complex challenge, but Gurucul’s SIEM platform can simplify the issue by delivering a broad range of compliance reports. It is another way that Gurucul delivers capabilities beyond the usual Next Generation SIEM.

Core Components

DATA PIPELINES

DATA PIPELINES

Data Acquisition and Management: Ingest data from virtually any system, device, application, directory, and cloud service.

STUDIO

STUDIOTM

Machine Learning Based Security Analytics: Derive more insights into security data, delivering a unified picture across multiple data sources

THREAT DETECTION

THREAT DETECTION

ML Detection & Threat Hunting: Monitor, analyze and detect threats using machine learning

INVESTIGATE

INVESTIGATE

Rapidly Investigate Incidents: Search, pivot on various datasets, save queries & visualizations, and collaborate across multiple teams

RESPOND

RESPOND

Case Management, Incident Response, and SOAR: Built in automation to respond, contain, and remediate security alerts, incidents, and vulnerabilities

DASHBOARDS & REPORTING

DASHBOARDS & REPORTING

Contextual Awareness Dashboards, Compliance and Security Reporting: Automatically verify regulatory requirements and generate audit reports; manage data privacy and governance

Datasheet-SIEM Best Practices

Download SIEM Best Practices

Whether you have experience with a legacy SIEM tool or are deploying a tool for the first time, there are some best practices to follow to get the most benefit from a modern analytics-driven SIEM.

Share this page: