Gurucul UEBA uses a combination of machine learning algorithms, link analysis and policy to identify both known and unknown threats to your organization. Gurucul UEBA leverages over 1000 behavior models that can be customized using Gurucul Studio™ to meet your business needs. Gurucul UEBA enables organizations to predict, detect and act on Insider Threats, Network Behavior Anomalies (device, hosts, endpoints), Privileged Access Misuse, Compliance Violations and more.
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. Use Gurucul’s Identity Analytics Platform to cleanse, manage, secure, and govern identities and their associated access to prized data and assets.
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. Machine learning data science provides full insight to cloud apps with contextual views of an identity, its access, and associated activity.
Gurucul offers advanced security analytics platform that goes beyond the traditional rules-based detective controls and provides risk-based prescriptive security and fraud analytics solution. GRA platform leverages big data and advanced machine learning algorithms to prevent, detect and remediate Insider Threat, Access Outliers and Cyber Fraud in enterprise and cloud environments. Read our Fraud Analytics datasheet to understand how our product will help you detect and prevent financial fraud, healthcare fraud and retail fraud.
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. Powered by Gurucul Risk Analytics, Gurucul SaaS leverages machine learning to find hidden insights, without explicit rules and policies typically found in SIEM and log aggregation platforms. Gurucul SaaS uses a data lake to collect up to three years real-time event logs and identity information and access entitlements for every application and infrastructure component in your environment.
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. STUDIOTM as part of Gurucul Risk Analytics (GRA) supports an open choice for big data and a flex data connector to ingest any on-premises or cloud data source for desired attributes. Step outside the black box and create custom models for your own predictive security analytics needs.
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. From a single console, you can use any query you like to investigate incidents and correlate data across channels. You can save and export results for reporting and compliance purposes.
Gurucul Risk Analytics (GRA) uses machine learning and predictive anomaly detection algorithms to reduce the attack surface for accounts, and to eliminate unnecessary access rights and privileges. It combines User and Entity Behavior Analytics (UEBA) with Identity Analytics to address “the ability to ensure the ongoing confidentiality, integrity, availability and resilience of processing systems and services” – one of the four core GDPR principles.
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. Change your provisioning workflows to use automation instead of manually provisioning access. They are eliminating the typical approval process that most other organizations need to go through.
Enjoy state-of-the-art program governance powered by Gurucul Risk Analytics (GRA). Our advanced machine learning algorithms and pattern matching expressions link identity and access to build contextual visibility across an enterprise’s entire hybrid environment. Drawing context from big data, GRA’s identity analtyics (IdA) capabilties provide comprehensive policy coverage, automated lifecycle management, well-described entitlements, and optimized certification with a risk-driven approach.
Gurucul Quick Start is an easy and hassle-free installation service for the implementation of Gurucul’s products: User and Entity Behavior Analytics (UEBA) and Identity Analytics (IdA). This service deploys out-of-the-box anomaly detection with minimal customization that delivers consistent, predictable outcomes. In addition to hitting the ground running, it also provides a scalable install for quick expansion.
Gurucul Labs provides Gurucul customers a turn-key managed service offering to detect unknown unknowns using the Gurucul Risk Analytics (GRA) platform. Gurucul Labs helps operationalize your investment in behavior based security analytics by seamlessly combining Gurucul’s award-winning Gurucul Risk Analytics platform with professionals from Gurucul Labs, to provide a near real-time, value-driven service, while skills and resources are at a premium.
The Gurucul INSIDER Program is focused on building a network of high-quality solution providers and value-added resellers (VARs) capable of delivering and supporting world-class user behavior analytics (UBA) and identity and access intelligence (IAI) solutions. Together, we will build a longterm profitable partnership. Becoming a Gurucul INSIDER, provides you with rewards and benefits to help grow your business.