Whitepapers, Reports and eBooks
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.
Read this eBook for a view into what makes up UEBA from A to Z, from start to finish, thoroughly, and in detail.
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.
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.
This report provides a compass for Fraud Reduction Intelligence Platforms by evaluating specific criteria that enable businesses in solving some of their largest gaps.
The Cybersecurity Insiders’ 2021 Insider Threat Report, sponsored by Gurucul, reveals how IT security professionals are dealing with risky insiders, and how they are preparing to better protect their critical data and IT infrastructure from the growing insider threat.
At the 2020 RSA Conference, Gurucul conducted a survey about the risky behaviors of IT Security professionals. Nearly 300 attendees, across all main vertical markets, completed the survey. Download the report for details on what we learned.
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.
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 (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.
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.
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.
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.
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.
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 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.
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.
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.
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.
User and Entity Behavior Analytics (UEBA) solutions monitor user and entity behavior in corporate networks detecting anomalies indicating potential threats from behavior profiles and patterns by applying algorithms, statistical analysis, and machine learning techniques.
Identity theft is a high stakes growing concern for organizations yet as the risks increase, employee awareness of the danger remains low. Add to that, modern data attackers employ unconventional methods to deceive users into becoming victims of account compromise.
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.