Gurucul Solutions for the Public Sector

AI Analyst is Gurucul’s AI-driven security operations capability that helps automate alert triage, investigation support, and incident analysis. It is designed to reduce manual workload on analysts, speed response times, and improve SOC efficiency by helping teams focus on the highest-priority threats.

AI-Powered Insider Risk Management helps organizations detect and manage risks associated with trusted users, compromised accounts, negligent behavior, and insider misuse. It uses analytics and behavioral context across identities, systems, and activity to identify high-risk behavior earlier and support faster intervention.

Data Optimizer helps organizations reduce unnecessary security data volume while preserving the data needed for detection, compliance, and investigation. It filters, normalizes, enriches, and routes data more intelligently, which can lower costs, improve data quality, and give customers greater control over their security architecture.

Gurucul Next-Gen SIEM helps organizations detect, investigate, and respond to threats through a modern, AI-powered security analytics platform. It brings together data from across the environment to improve visibility, reduce alert noise, and help security teams identify meaningful threats faster.

SME-AI acts as an intelligent assistant for security teams by helping users interact with the platform more naturally and efficiently. It supports analysts and administrators with guided investigation, faster search, and easier access to insights, helping teams work more productively and make faster decisions.

UEBA, or User and Entity Behavior Analytics, uses machine learning and behavioral analytics to detect anomalies across users, devices, applications, and other entities. It helps uncover threats such as account compromise, privilege misuse, insider activity, and lateral movement that may be difficult to identify with traditional rule-based tools alone.