Dynamic Security Analytics Platform Overview
Learn how to uncover true threats and quantify cyber risk. Get real-time prioritized and actionable insights, so you spend more time on what’s most important, eradicating threats.
Platform Pillar: Open and Flexible
Learn how Gurucul’s cloud-native, unified security analytics platform gives you nearly unlimited choice with deployment, integration and its ability to scale.
Platform Pillar: Intelligent Data Fabric
Learn how Gurucul’s dynamic ML-powered data fabric automates data ingestion and interprets, monitors, enriches, reduces and routes data from any source, format or IT estate.
Platform Pillar: Purpose-Built Content
Learn how to jumpstart your time-to-value with high-fidelity detections on Day One day with over 10,000 pieces of built-in content that start detecting and reporting threats out of the box.
Platform Pillar: Advanced Analytics
Learn how Gurucul’s ML-driven Analytics automatically applies a wide breadth of mature analytics to telemetry from any source to improve detection coverage.
Platform Pillar: Dynamic Risk Engine
Learn how a customizable, dynamic risk engine that adjusts in real-time and can be adapted to any risk framework enabling you to quantify and elevate real business risk.
Platform Pillar: Powered by AI
Learn how our AI is constantly improving the efficacy of our detections and uses natural language search to streamline investigations and hunting without compromising privacy.
By leveraging Artificial Intelligence and Machine Learning on massive volumes of data in a vendor agnostic data lake, Gurucul Next-Gen SIEM delivers all the features expected from a SIEM platform and adds capabilities that no conventional SIEM platform can match.
User and Entity Behavior Analytics (UEBA)
Gurucul UEBA uses a combination of machine learning algorithms, link analysis and policy to identify both known and unknown threats to your organization.
Gurucul Extended Detection and Response (XDR) is a cloud-native analytics driven XDR platform that improves threat detection and incident response with no vendor lock-in, allowing you to use best-of-breed security solutions. It provides a single interface for analytics, detection, investigation and response.
Behavior-based machine learning for identity and access often results in radical reductions for accounts and access entitlements. Identity is a threat plane requiring identity and access data science that predicts and prevents security risks, assists with high privilege access monitoring, excess access, compliance, and intelligent provisioning.
Learn how Gurucul Data Optimizer alleviates the data processing bottleneck for IT and security teams so they can get the right data to the right place while reducing noise and costs.
Learn how Gurucul Federated Search provides universal searchability on decentralized data with dramatic cost reduction for security and observability data.
Gurucul Fraud Analytics provides a holistic risk-based approach for fraud detection of both internal and external users, using award-winning machine learning algorithms and an open big data architecture.
Gurucul’s Risk-Driven Security Orchestration, Automation, and Response (SOAR) delivers effective automated responses right out-of-the-box to mitigate identified threats.
Identity as a threat plane is further amplified by cloud apps to detect insider threats, account compromise and fraudulent activity. Cloud apps require both identity access intelligence and user behavior analytics to reduce the attack surface for accounts, unnecessary access rights and privileges, and identify, predict and prevent breaches.
Create custom machine learning models without coding and minimal knowledge of data science. Gurucul STUDIOTM provides a step-by-step graphical interface to select attributes, train models, create baselines, set prediction thresholds and define feedback loops.
Investigate incidents quickly with Gurucul MinerTM. Only Gurucul offers contextual search using big data to mine linked users, accounts, entitlements, structured and unstructured data, along with risk score and peer group analytics.
Medical Device Discovery & Monitoring
Manufacturers develop cheaper and more scalable medical devices that run easily compromised operating systems, such as Windows, that are frequent targets of ransomware attacks.
Gurucul Insider Threat Solution
Gurucul provides a comprehensive view of user and entity behaviors and detects risky outliers using a library of advanced machine learning models and identity-centric data science.
Gurucul has compiled the top twelve key use cases customers should build into their Insider threat program roadmap when deploying and rolling out their Gurucul Risk Analytics (GRA) platform.
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.
Risk Based Authentication Solution
Streamline user access to digital content with risk based authentication. Enable real-time access decisions based on risk scores generated from Gurucul’s machine learning behavior analytics on big data.
Risk Based Access Certification Solution
Enjoy state-of-the-art program governance powered by Gurucul Identity Analytics. Our advanced machine learning algorithms and pattern matching expressions link identity and access to build contextual visibility across an enterprise’s entire hybrid environment.
Gurucul Fraud Analytics: AML & KYC Use Cases
Existing tools may be limited by a lack of context in that they do not see the whole picture. Deploying Gurucul Fraud Analytics can give an organization the comprehensive view necessary to identify aberrant behaviors and stop fraud.
The Gurucul Palo Alto Networks Cortex XSOAR Content Pack
Gurucul supports API based integration with Cortex XSOAR that allows the system to perform an on-demand retrieval of Gurucul’s data and create incidents.
Ensure GDPR Confidentiality and Integrity with Gurucul Risk Analytics
Gurucul Risk Analytics uses machine learning and predictive anomaly detection algorithms to reduce the attack surface for accounts, and to eliminate unnecessary access rights and privileges.
Gurucul SmartStartTM is an easy and hassle-free installation service for the implementation of Gurucul’s Unified Security and Risk Analytics platform and products. This service deploys out-of-the-box anomaly detection with minimal customization that delivers consistent, predictable outcomes.
Gurucul Labs provides Gurucul customers a turn-key managed service offering to detect unknown unknowns using the Gurucul Risk Analytics (GRA) platform.
Gurucul Software as a Service (SaaS) is a cloud-based SaaS offering that provides organizations the ability to detect and act on compromised accounts and insider threats.
Gurucul Network Traffic Analysis (NTA) uses entity models to create behavior baselines for every device and machine on the network based on network flow data such as: source and destination IPs/machines, protocol, bytes in/out, etc.
Solution Briefs
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.
Gurucul Risk-Driven Vulnerability Remediation Solution
Gurucul leverages vulnerability scan assessment data from industry leading vulnerability management solutions to combine risk, threat and business context to more accurately identify compromised assets for faster prioritization and remediation of systems.
Migration Guides
Technology Alliance Integrations
