Gurucul Risk AnalyticsTM (GRA) is a Unified Security and Risk Analytics platform on open choice of big data. GRA leverages over 1500 Machine Learning Models powered by data science to produce actionable risk intelligence.
Gurucul Unified Security Analytics is a comprehensive cybersecurity product providing a seamlessly integrated one stop shop for log aggregation, SIEM, UEBA, intelligent threat hunting, network traffic analysis and SOAR.
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 1500 behavior models that can be customized using Gurucul STUDIO™ to meet your business needs.
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.
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.
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.
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.
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 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 Smart Start 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.
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 Unified Security and Risk Analytics products.