The Reveal Platform
AI-Powered Insider Risk Management
Gurucul AI‑Powered Insider Risk Management (IRM) delivers a unified, AI‑native platform that seamlessly correlates activity across identity, access, location, endpoint, cloud, and business systems. It enables security teams to proactively detect, investigate, and respond to the full spectrum of insider threats—spanning both human and machine identities.
Traditional DLP is known for causing "false positives" and disrupting business workflows. Our Intelligent DLP uses behavioral machine learning to understand the intent behind data movement.
Credentials are the #1 target for attackers. This module continuously audits identity health to identify compromised accounts and "internal sleepers" before they can exfiltrate data.
When a breach occurs, every second counts. This module replaces manual playbooks with an autonomous engine that can isolate threats and lock down assets instantly based on your pre-set risk appetite.
Security leaders can't manage what they can't see. This module provides a unified, 360-degree view of your organization's risk posture, connecting the dots between users, data, and devices.
Strengthen your enterprise with centralized data, deep behavioral insights, and automated case handling for every insider threat scenario.
Detects fraudulent activities such as the manipulation of financial records or unauthorized transactions
Detect escalation or abuse of high-level credentials before a breach occurs.
Monitor for misuse of service accounts, automation tools, and AI agents.
Stop exfiltration via USB, screenshots, email to self, or personal cloud storage.
Identifies when user accounts or credentials are hijacked, used abnormally, or leveraged in unauthorized activities, minimizing damage from account takeover incidents.
Provides enhanced oversight of executive accounts to detect targeted phishing, misuse, or suspicious activity putting leadership or the organization at risk.
Gurucul enabled the healthcare insurer to rapidly detect and respond to insider threats, enforce geo-compliance policies, uncover repeat data exfiltration attempts, and streamline investigations without deploying endpoint agents.
They replaced Securonix with Gurucul, creating a stable and scalable environment that reduced false positives, protected critical IP, and realized faster response times with a robust XSOAR integration.
Gurucul’s AI-powered UEBA & Identity & Access Analytics platform enabled the bank to identify and prevent Insider Threats while scaling effortlessly, supporting 15TB of daily data ingestion across 250,000 users in 20+ countries
This eBook is a strategic resource for business and security leaders confronting this evolving reality. It provides a clear, actionable framework for understanding the complexities of Insider Risk Management (IRM).
Report from Cybersecurity Insiders and Gurucul shows growing risk from insider attacks as they become more frequent and more difficult to detect, raising concern by security pros.
Insider attacks are far more difficult to detect and prevent than external attacks, and insider threats have become more frequent in the past year. Understand how predictive security analytics uniquely detects and stops insider threats.