REVEAL is an open and adaptable big data platform designed to handle demanding workloads at speed and scale.
It’s data lake and cloud-agnostic, so you can build a centralized or federated architecture using Gurucul’s Hadoop data lake or your own. And it’s designed with flexibility in mind—meaning you can integrate and customize to best suit your business processes, tech stack, and deployment model.
No matter what, REVEAL gives you control—helping you eliminate the myriad data costs and scalability issues inherent to traditional SIEMs and siloed security analytics solutions.
REVEAL automatically filters, normalizes, enriches, routes, analyzes, and searches any security, non-security, and IT Ops data from any source to start detecting threats right away—giving you complete control over your security data fabric.
Take advantage of out-of-the-box features like data ingestion monitoring and alerting—along with the built-in no-code four-step pipeline wizard—to make any new data source accessible and visible in minutes.
With REVEAL, analysts get ultimate clarity into the entire hybrid IT ecosystem delivered on a single, unified platform—without the need for third-party services, data distribution tools, or parsing software.
REVEAL is ready out-of-the-box with 10,000+ pieces of content—so you can go from ingestion to high-fidelity detections in seconds.
Plus, any pre-built content is fully customizable, so you can modify and create virtually infinite configurations using flexible dashboards, ML models, risk scoring, playbooks, and more.
Get value and ROI on day one, and then customize to meet your specific business, security, or compliance requirements.
REVEAL goes beyond basic anomaly detection. Drawing from a massive library of pre-tuned ML models developed and refined over more than a decade, REVEAL automatically applies a wide range of behavioral analytics to structured and unstructured data from endpoints, network applications, the cloud, or IoT— including IT Ops and non-security data.
Working with a simple interface, analysts get open and transparent analytics—so they can refine and customize existing models and build new ones without having to write code or understand data science.
Go one step further and chain together multiple ML models using different sources like identity, activity, and threat analytics to drive higher-fidelity detections, fewer false positives, and more zero-day threat detections.
REVEAL quantifies and normalizes risk on a scale of 0–100, so security teams can quickly and easily understand and prioritize the top threats to the business.
Analysts can see a consolidated risk score for any user, entity, application, or asset across every transaction, entitlement, and activity—and then take decisive action using a library of fully customizable response playbooks configured to your organization’s unique criteria.
With just a few clicks, security teams can easily customize risk scores based on defined risk tolerance—so analysts know where to focus time and attention.
REVEAL even allows teams to create custom groups for critical or sensitive entities like executive laptops, contractors, database servers, or critical business applications—and then elevates risk scores to help analysts respond when these groups are impacted.
Learn the basics about REVEAL, drill down into the platform's unique features, or take a guided tour from an analyst's perspective. It's all here in the Demo Hub.
