Overview

Gurucul Security Analytics Platform leverages advanced machine learning and behavior analytics to provide comprehensive threat detection and risk management. It specializes in identifying insider threats, fraud, and cyber risks by analyzing user, entity, and access behavior across on-premises and cloud environments. The platform combines identity risk scoring, risk-based authentication, and automated incident response to enable organizations to proactively detect and prevent security breaches. It supports flexible deployment models and integrates with various enterprise systems to deliver actionable security intelligence in real time.

Features and Capabilities

• AI-driven User and Entity Behavior Analytics (UEBA): Utilizes advanced AI and machine learning algorithms to analyze user, device, and entity behaviors, detecting unusual patterns and anomalies indicative of security threats or insider attacks.
• Risk-based Identity Scoring: Continuously assesses the risk levels of individual users, devices, and access points based on their behavior and context to prioritize security incidents and proactive measures.
• Real-time Detection of Insider Threats, Account Takeovers, and Fraud: Instantly identifies suspicious activities and potential attacks within systems to enable swift mitigation.
• Automated Threat Investigation and Incident Response Workflows: Reduces security team workload by automating incident analysis, correlation, and escalation, significantly improving response times.
• Integration with SIEM, IAM, and Access Management Systems: Enables seamless data exchange and context enrichment by connecting with existing security and identity management solutions for comprehensive security analysis.
• Flexible Deployment Across Cloud, On-Premises, and Hybrid Environments: Supports various infrastructure models with a scalable architecture that grows with organizational needs.
• Adaptive Machine Learning Models: Continuously learn from new data and threat patterns to dynamically adjust to evolving attack techniques and enhance detection accuracy.
• Intuitive Visualization Dashboards and Detailed Reporting: Provides clear security posture overviews and in-depth reports used for monitoring, analysis, and regulatory compliance.
• Access Risk Analytics: Combines identity, behavior, and access entitlement data to create holistic risk profiles for critical resource access.
• Policy-driven Risk Mitigation: Allows definition and automated enforcement of security policies, including risk-based authentication and adaptive access controls, to proactively reduce risk.
• Audit Trails and Forensic Data Collection: Captures and archives all relevant actions and incidents to ensure traceability and meet compliance requirements.
• Pre-built Use Cases and Customizable Detection Rules: Offers a wide range of industry-specific use cases and allows tailored rules to address unique security threats.
• Multi-tenant Architecture for Managed Security Service Providers (MSSPs): Supports secure management of multiple client environments within a single platform, ideal for service providers.
• Support for Integration with Threat Intelligence Feeds and External Data Sources: Enhances threat analysis by incorporating current external security information to improve detection and response.