AI Data Fabric
SIEMSOARAI-Powered SOCAI Threat DetectionLLM Security/AI GuardrailsCompliance AutomationRisk Assessment
Description
The AI Data Fabric is a modern architectural framework that integrates high-volume, high-diversity exposure and telemetry datasets using AI-driven techniques. It automates normalization, enrichment, deduplication, and aggregation to provide security teams with actionable insights.
Key Differentiators
- AI-driven data integration and correlation
- Active metadata management for enhanced context
- Supports real-time streaming and batch ETL processes
- Natural language query capabilities
Features
- Automated normalization and enrichment of security data
- Dynamic metadata analysis and optimization
- Knowledge graph creation for enterprise-wide data relationships
- Real-time streaming telemetry integration
Use Cases
- Automate vulnerability prioritization across hybrid environments
- Query exposure data using natural language for faster insights
- Integrate siloed security data into a unified fabric
Pricing
Model
contact-sales
Starting At
Contact vendor
Details
Trial / Tier
Free Trial
Deployment & Platforms
CloudOn-PremiseHybrid
WindowsLinuxmacOSAWSAzureGCP
Integrations
SplunkMicrosoft SentinelJiraSharePoint
Compliance
SOC 2ISO 27001GDPRCCPA
Target Market
Company Sizes
mid-marketenterprise
Industries
financial serviceshealthcaregovernmenttechnology
Contacts
| Name | Title | Phone | Type | |
|---|---|---|---|---|
| Sharon Isaaci | Co-founder and CEO | executive | ||
| David Warshavski | Co-founder and CPO | executive | ||
| Mark Fournier | CIO, United States Senate Federal Credit Union | general | ||
| jobs@tonicsecurity.com | general |
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