eBooks
SOC Modernization and the Role of XDR
Security operations demand massive scale to collect, process, analyze, and act upon massive amounts of data. Read this eBook for insights into the current perception and role of XDR as a component of security operations modernization efforts.
A Smarter, Faster SOC: Changes that will help overburdened security operations teams turn the tide
Download this eBook for details on how to empower your security operations team to get ahead of threats with drastic improvements.
Gurucul has spent over 10 years developing and perfecting machine learning models to predict, detect, and stop malicious insiders and cybercriminals using behavior analytics. This eBook is an in depth analysis of what goes into a User and Entity Behavior Analytics (UEBA) product.
Download our Security Analytics Cookbook and take a bite out of our most popular recipes. With over 1500 machine learning models out-of-the-box, there’s a lot you can do with very little effort.
Reports
KuppingerCole Report: Gurucul Named an Overall Leader for Intelligent SIEM
Gurucul positioned as an overall I-SIEM leader sweeping all product, innovation and market leadership ratings.
Analyst Report: 2022 Gartner® Critical Capabilities for Security Information and Event Management
Gurucul has been recognized in 2022 Gartner Critical Capabilities for SIEM. Gartner analysts defined and assessed three Use Cases and eight SIEM capabilities across a highly complex, 16 vendor landscape.
The 2023 Insider Threat Report surveyed over 326 cybersecurity professionals to reveal the latest trends and challenges facing organizations in this changing environment. The report explores how IT and cybersecurity professionals adapt to deal with risky insiders and how organizations are preparing to better protect their critical data and IT infrastructure.
Enterprise Strategy Group (ESG) evaluated the Gurucul Platform to validate the tangible benefits of automated detection and response of internal and external threats within on-premises and cloud environments.
SIEM Data Analytics Challenges Facing the SOC
Gurucul conducted a survey of more than 230 security professionals at the 2023 RSA Conference to better understand the challenges SIEM users face around data ingestion, security analytics, threat detection and response.
What I Need to be a SOC Rock Star
Gurucul conducted a survey of attendees at the 2022 Black Hat USA security conference focused on the Security Operations Center (SOC). We asked security professionals who worked in the SOC about what they needed to be successful, the technologies and attacks they’re most focused on, and their plans for the SOC in the next year.
2022 Security Operations Efficiency Survey
Gurucul polled cybersecurity professionals during the 2022 RSA Conference about their organizations’ security operations. Read this report to discover what the attendees felt were the biggest threats to their security operations.
KuppingerCole Report: Leadership Compass – Fraud Reduction Intelligence Platforms
This report provides a compass for Fraud Reduction Intelligence Platforms by evaluating specific criteria that enable businesses in solving some of their largest gaps.
2021 Black Hat USA SIEM Survey
Gurucul conducted a survey at the 2021 Black Hat USA Conference on Security Information and Event Management (SIEM) products. Over 500 attendees responded to our SIEM survey – both in person visitors to our booth and virtual conference attendees. Here are the survey results.
Whitepapers
Gurucul Cloud-Native Analytics Driven XDR Platform
Read this whitepaper to understand what Extended Detection and Response (XDR) is and how XDR can help you improve your threat detection and response programs. Understand the advantages Gurucul XDR offers compared to vendor-specific XDR products.
Gurucul is one of only a few cybersecurity platforms that has true machine learning and artificial intelligence. Just as important is the number of models Gurucul uses that are paramount in narrowing in on all sorts of attacks and variants.
Best Practices to Maximize the Benefits of Analytics-Driven SIEM
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.
Critical Infrastructure: Get Proactive Against Cyber Threats with Gurucul’s Next Gen SIEM
As threats against the nation’s critical infrastructure continue to grow, public sector and private organizations alike need to get more proactive about protecting their digital assets.
Uncover Insider Threats through Predictive Security Analytics
Insider attacks are far more difficult to detect and prevent than external attacks, and insider threats have become more frequent in the past year. Understand how predictive security analytics uniquely detects and stops insider threats.
Best Practices for Implementing an Insider Threat Program
Our experience working with hundreds of customers all around the world has given us proven strategies and tactics for implementing an insider threat program. With the right technology platform, and the right approach, you can have a successful program too.
User and Entity Behavior Analytics Use Cases
User and Entity Behavior Analytics (UEBA) plays a key role in detecting and preventing modern cyber threats with machine learning. Understand the top use cases for UEBA and the environments where industry leaders are deploying this technology.
Identity and Access Analytics Use Cases
With the compromise and misuse of identity emerging as a serious threat plane, the prospect of preventing data exfiltration through phishing and social attacks has become an amplified and urgent concern.
Improving Data Ingestion While Decreasing Complexity and Cost
The Gurucul Security Analytics and Operations Platform is designed differently from traditional SIEM and XDR platforms. The platform is built to take in as much data as possible from as many sources as possible, without penalizing customers via data ingestion-based licensing.
Network Traffic Analysis is the Next-Generation Defense Against Modern Threats
Quickly identify suspicious or risky activity on a network with Network Traffic Analysis. It uses data that NetOps team are already collecting, so there is low overhead to deploying this solution.
Behavior Analytics and Big Data for Cross-Channel Fraud Detection
Across all industries, fraud and financial crimes are on the rise, causing losses that collectively reach into the trillions of dollars each year. Legacy fraud management platforms have too many limitations to be effective in today’s environment.
Key Fraud Analytics Use Cases for Finance
Gurucul provides a robust security and fraud analytics platform which leverages advanced machine learning algorithms to detect fraud. Read this whitepaper to understand how Gurucul can detect and prevent financial cyber frauds.
Healthcare Analytics Use Cases
Gurucul provides advanced security analytics to address a broad range of security issues facing healthcare providers and payers. Read this whitepaper, Healthcare Payers & Providers – Key Security Analytics Use Cases, for details.
Cloud Security Analytics Use Cases
Cloud Security Analytics utilizes API-based cloud access security broker (CASB) architecture to deliver advanced security analytics for SaaS cloud applications, including IaaS, PaaS, and IDaaS. Read this whitepaper for details.
With modern day insider threats on the rise and privileged access widely acknowledged as a prime target of hackers, customers employing traditional security solutions are recognizing growing challenges: the inability to discover both unknown privileged access and privileged access abuse.
Advanced Security Analytics Applications in EU GDPR
With the deadline looming, organizations are beginning to tool up to comply with the European Union General Data Protection Regulation. Failure to do so for all companies interfacing with any private citizen of the EU’s data will have stiff financial consequences.
Automated Risk Response and Custom Model Use Cases
Advanced security analytics requirements are comprehensively addressed with the targeted capability of automated risk response, as well as the flexibility of custom model use cases.
