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SECURITY DATA FABRIC

SECURITY DATA
OPTIMIZED & UNIFIED
Collect, Route, Manage, and Optimize - solve security data challenges without a data engineering team.
0 +
connectors for collecting data from sources in minutes
0 %+
reduction in SIEM & storage costs with log reduction
0 %+
reduction in manual effort in data engineering
The Challenges
Data Integrations
Bringing data together from different databases, containers, applications, and environments.
4-8
Weeks to add / integrate a new source of data or logs
19%
Data team bandwidth is spent on cleaning and transforming data
Volume Reduction
The deluge of security data raises SIEM and storage costs while making it harder for SOCs to find threats.
16x
Cost difference in storing data in a SIEM vs storing it in blob storage
~40%
Alerts are ignored due to SOC fatigue and false positives
Pipeline Health
Pipeline breaks or failures that cause data loss reduce security, lower data quality, and create chaos.
>10
Hours to detect and resolve a data quality incident
<15%
Have automated data quality and pipeline management
Data Management
Tagging, segmenting, and managing data movement and transformation across tools and destinations.
45%
SOC members report frustration with multiple data silos
49%
SOC members challenged by effort of using multiple tools and consoles
The Solution
PLUG-AND-PLAY INTEGRATIONS
Automated data collection & ingestion
Collect, manage, and optimize ingestion of your security data - even if your security tools don’t get along
400+
Connectors for plug-and-play source onboarding
80%
Reduction in manual effort and time for onboarding sources
The Complete Security Data Pipeline Platform
Our Security Data Fabric empowers security teams with cutting-edge capabilities to streamline log management, enhance visibility, and fortify defenses
Data Collection & Ingestion
CRUZ
The Future of Data Engineering
Say goodbye to tedious data engineering tasks and say our proactive agentic AI which shares insights, automates tasks, and simplifies data management for organizations
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