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Welcome to DTACT

DTACT is a comprehensive data platform that runs on-prem and on cloud, combining data integration, BI solutions, security monitoring, and AI-powered analysis into a unified solution built on three core principles:

Seamless Interoperability — DTACT integrates data from numerous sources at scale and speed, supporting interoperability across existing tools and platforms.

Data Integration and Analysis — Beyond data collection and storage, DTACT operates at the intersection of big data, BI, AI, and ML to create positive impact.

Purpose-Driven — Every feature is designed with a purpose — to help you understand your data, detect threats, and respond effectively.

Platform Modules​

Engine​

The Engine is the underlying proprietary technology that powers our solution. Parts of it are exposed to users via Bricks — customizable Python scripts that allow custom logic for:

  • Data connectors
  • Data transformation
  • Detection rules
  • Chart templates
  • Assistant functions
  • Assistant prompts

→ Learn more about Bricks

Fusion​

Fusion is DTACT's cloud-based data lakehouse that brings all your data sources together:

  • Unified data access across sources
  • PostgreSQL-compatible SQL queries
  • Real-time and historical data
  • Schema management

→ Learn more about Fusion

Insights​

Insights provides operational intelligence through:

  • Dashboards — Visual displays of your data
  • Panes — Individual visualizations
  • Alerts — Events flagged by detections
  • Cases — Structured investigations
  • Detections — Automated monitoring rules

→ Learn more about Insights

AI Assistant​

The AI Assistant provides conversational access to your data:

  • Natural language queries
  • Alert analysis and triage
  • Investigation assistance
  • Report generation

→ Learn more about AI Assistant

Action​

Action enables automation through Playbooks:

  • Visual workflow builder
  • Event-driven automation
  • Integration with external systems
  • Response orchestration

→ Learn more about Action

Getting Started​

  1. Explore your data — Start with Fusion to see connected sources
  2. Build visualizations — Create panes and dashboards in Insights
  3. Set up detections — Configure automated monitoring
  4. Use the Assistant — Let AI help with analysis
  5. Automate responses — Build playbooks for common actions