The Reveal Platform
Slash SIEM costs by more than 40%
Our Next-Gen SIEM is completely built in-house, no bolt-ons and completely modular. An open architecture gives you the flexibility of choice—replace your SIEM or augment your stack.
Ingesting raw logs into SIEMs like Splunk or Sumo Logic is often cost-prohibitive for modern enterprises. By using a Data Optimizer to filter, deduplicate, and sample data before it hits the SIEM, organizations can reduce ingest volumes by 40% out of the box (and up to 87% with tuning). This ensures that security budgets are spent on actionable insights rather than on analyzing digital exhaust.
Disparate log formats and raw telemetry often slow down detection and complicate investigations. By applying enrichment, normalization, and tagging at the point of collection, data becomes "analytics-ready" from day one. This transformation logic accelerates response times by eliminating the need for analysts to manually correlate messy, unformatted data during an active incident.
Organizations typically rely on dozens of tools, each with its own ingestion needs and proprietary format. A centralized DPM allows teams to route filtered and formatted data to multiple destinations—SIEM, SOAR, or Data Lakes—from a single control plane. This eliminates the need for manual tuning or custom parsers, streamlining the entire security architecture.
Security analysts are frequently overwhelmed by irrelevant or low-value events that trigger unnecessary alerts. By filtering noise upstream, DPM ensures that only high-fidelity data reaches the detection analytics engines. This sharpens overall threat detection capability and significantly reduces the manual effort required to triage false positives.
DPM enables cost‑efficient long‑term data retention with full‑fidelity storage in low‑cost tiers and on‑demand replay into SIEM or XDR. Teams can meet compliance and forensic requirements without expanding expensive SIEM retention windows. The result: complete historical visibility for fast, accurate investigations at lower cost.
DPM enables rapid onboarding of new data sources with low‑code pipelines and pre‑built connectors, no custom parsers required. This eliminates ingestion delays, reduces maintenance overhead, and ensures immediate visibility across evolving environments. The result: faster detection readiness with minimal engineering effort.
See how Aura achieved 40% cost savings and accelerated investigations by transitioning to Gurucul’s Next-Gen SIEM with Data Optimizer.
This large national department store was able to eliminate the inefficiencies of managing two separate SIEM systems (Elk and Splunk) and achieve significant cost savings while moving to Gurucul.
Upwork modernized its SOC with Gurucul’s AI-driven Next-Gen SIEM, cutting data volume by 45%, reducing false positives, and completing the smoothest SIEM migration they’ve ever experienced—all in under 8 weeks.
This eBook is designed to guide SIEM buyers through the complexities of selecting the right solution for today’s security challenges. It outlines the key capabilities and considerations that matter most when evaluating modern SIEM platforms, including flexibility, scalability, AI-amplified threat detection, integration, and operational efficiency.
Data Pipeline Management buyers' guide for security professionals who want to take back control of their security data and budget with intelligent, AI-powered data optimization.
Gurucul Data Optimizer breaks this cycle. Built natively into the Gurucul SIEM platform, it eliminates the need for an external pipeline, consolidating ingestion control, intelligent filtering, real-time transformation, and contextual enrichment into a single, unified engine.
