About Gurucul
Gurucul sells unified Entity Intelligence, which fuses Behavioral AI with traditional detections across humans, machines and AI systems. Gurucul REVEAL is a cloud-native engine architected to federate analytics across globally dispersed, heterogeneous environments. The Entity Intelligence Engine from Gurucul includes 5,000+ glass-box ML models and patented Link Chain Analysis. Gurucul has been focused on R&D and engineering for more than a decade.[1][4][5]
Gurucul has an open architecture that allows customers to replace a SIEM or augment a stack. Gurucul can be deployed as SaaS, cloud, on-premises or hybrid. Gurucul offers 10,000+ content items and a native Data Pipeline Manager. Gurucul uses Agentic AI across the threat lifecycle for triaging, escalating and responding. Gurucul's Virtual AI SOC Analyst performs L1 evidence gathering. Gurucul provides a native AI assistant and federated search across a customer's data ecosystem. Gurucul NG-SIEM maps ML detections directly to regulatory frameworks including NIST 800-53, PCI DSS, and HIPAA. Gurucul REVEAL identifies over-privileged accounts, rogue credentials, and subtle lateral movement.[1][5]
Gurucul Data Optimizer filters, deduplicates, and down-samples logs. Gurucul Data Optimizer is built natively into the Gurucul SIEM platform and consolidates ingestion control, filtering, real-time transformation and contextual enrichment into a single engine. Gurucul can route specific streams to any SIEM, XDR, or low-cost cold storage while keeping the ability to search and replay data for compliance and forensics. Gurucul lets customers pick from a library of built-in integrations, spin up custom connectors, or request a new one in 48 hours. Gurucul offers storage in a customer's data lake, a 3rd-party SIEM, on-prem, or Gurucul storage. Gurucul defines security data pipeline management as the process of filtering, enriching, and routing security telemetry before it reaches downstream tools like SIEM, XDR, and data lakes. Upwork modernized its SOC with Gurucul's Next-Gen SIEM.[1][4][5][7]
Gurucul SOAR includes built-in response playbooks for use cases including incident response, threat hunting, vulnerability management, and compliance reporting. Gurucul SOAR integrates with downstream security solutions to block, disable or isolate risky users and entities. Gurucul SOAR customers can add micro playbook services to standard processes and link them together in workflows for different remediation paths. Gurucul's dynamic risk engine normalizes risk scores from 0-100. Gurucul Open XDR includes a library of customizable response playbooks, federated search across the data fabric, and link analysis for contextualizing incidents. Gurucul Open XDR incorporates identity and access analytics with user behavior to detect, prioritize, and respond to identity-based attacks. Gurucul Open XDR is cloud-native, open, and architected to federate security analytics across globally dispersed cloud and hybrid infrastructures. Gurucul lets analysts perform federated searches to query decentralized security and observability data.[1][8][9][10]
Gurucul Identity Analytics (IdA) gives analysts a real-time, 360-degree view of activity on-premises, on mobile devices, and in the cloud. Gurucul Identity Analytics gives security teams dynamic risk scores and analytics data that help inform provisioning, de-provisioning, authentication, and privileged access management. Gurucul Identity Analytics addresses Segregation of Duties (SoD) violations and toxic combinations of access. Gurucul Identity Threat Detection and Response (ITDR) delivers real-time insight into the identity attack surface and gives security teams visibility into over-privileged, rogue, orphaned, or compromised accounts. For cloud security monitoring, Gurucul ships with 5,000+ machine learning models out-of-the-box. Gurucul offers data masking capabilities that let security teams run analytics across geographically dispersed cloud environments.[11][12][13]
Gurucul offers a product that connects AI activity with the people, machines, access, and data around it. Gurucul shows every AI agent, model, and tool in use, and who owns it. Gurucul gives insider risk teams one entity risk score across employees and AI agents. Gurucul combines UEBA capabilities with identity and access analytics for healthcare insider threat teams. Gurucul uses user and entity behavioral analytics, with 97% alignment with the MITRE ATT&CK framework, and integrates healthcare threat intelligence from CISA and Health Information Sharing and Analysis Center.[3][4][14]
Gurucul delivers healthcare cybersecurity solutions to detect real-time threats, streamline compliance, protect patient data, and minimize the attack surface. Gurucul unifies relevant data including Security, Network, IT, IoMT, OT, Cloud, Identity, Electronic Health Records (EHR) and priority application data. Gurucul establishes behavioral baselines for each medical device and monitors activity patterns such as volume, time, location, and network flows. A large Midwest U.S. healthcare organization with over 14 hospitals and 29,000 employees turned to Gurucul to prevent insider threats and protect and update medical devices storing patient health information. Gurucul describes MSSPs as needing an open and flexible security analytics platform to tailor detections, investigations and response to their customers' requirements. For regulated industries, Gurucul names NIST, PCI DSS, HIPAA and GDPR, with on-prem, multi-cloud or hybrid deployment. Gurucul addresses enterprises and regulated mid-market organizations.[4][5][6][14][15]
Gurucul on the record