CyberDoyen SIEM Architecture

CyberDoyen SIEM is purpose-built for modern security teams who require powerful, flexible, and high-performance security monitoring. It is designed to scale seamlessly with your infrastructure, offering real-time insights and advanced threat detection without sacrificing speed or usability.

Core Architecture Overview

CyberDoyen SIEM is based on a modular, distributed architecture that ensures scalability, reliability, and performance even at enterprise scale.

Component	Description
Ingestion Layer	Collects logs, metrics, and security events from various sources.
Processing Layer	Normalizes, enriches, and correlates incoming data streams.
Storage Layer	Indexes and stores structured and unstructured data efficiently.
Analytics & Detection	Applies machine learning models and detection rules for real-time threat identification.
Visualization Layer	Provides intuitive dashboards, visualizations, and alerting mechanisms.
Orchestration Layer	Manages system configurations, plugin integrations, and data pipelines.

Architectural Diagram

Diagram Coming Soon
(Add your architecture diagram image here, e.g., /images/architecture-diagram.png)

Key Capabilities

Analytics - Real-time Processing

Feature	Description
Advanced Threat Detection	Machine learning-powered anomaly detection identifies threats 40% faster than traditional methods.
Customizable Dashboards	Tailor dashboards for different teams and use cases with drag-and-drop simplicity.
High-Speed Query Engine	Optimized for sub-second queries even at massive data volumes.

Scalability - Enterprise Ready

Feature	Description
Distributed Processing	Dynamically scalable to handle event loads ranging from 1GB to 1PB+ per day.
Plugin-Based Architecture	Supports over 150+ log sources out of the box, with the ability to add new ones quickly.
Horizontal Scaling	Add more ingestion, processing, or storage nodes as needed without downtime.

Modular Components

Ingestion Layer

Uses Filebeat, Syslog, API Collectors, and Custom Agents to pull logs from devices, cloud sources, endpoints, and applications.
Supports batch and streaming ingestion modes.

Processing Layer

Normalization: Converts logs into a consistent schema.
Enrichment: Adds metadata such as geolocation, asset tagging, threat intelligence feeds.
Correlation: Links related events across disparate data sources.

Storage Layer

Powered by Elasticsearch with custom tuning for security events.
Supports hot-warm-cold storage tiering for efficient long-term retention.

Analytics & Detection Engine

Integrated ML Models for anomaly detection, behavior profiling, and predictive analytics.
Rule Engine allows custom threat detection logic using simple DSL (Domain-Specific Language).

Visualization & Management

CyberDoyen Web UI offers:
- Dashboards
- Query Builder
- Alerts and Notification System
- User Access Controls

Data Flow

Event Collection: Devices, applications, and cloud services generate events.
Ingestion: Filebeat and agents forward events to ingestion nodes.
Normalization & Enrichment: Data is processed, normalized, and enriched.
Indexing: Processed data is indexed into the Elasticsearch datastore.
Analysis: ML models and detection rules analyze indexed data in real-time.
Visualization: Results are visualized in dashboards and alerts are triggered if threats are detected.

Scaling Strategy

Scaling Dimension	Approach
Ingestion	Add more ingestion nodes horizontally.
Processing	Scale out processors to handle high EPS (events per second).
Storage	Expand Elasticsearch clusters with more nodes.
Analytics	Deploy additional ML model servers for parallel analysis.
Visualization	Use load balancers for scaling CyberDoyen Web UI instances.

Why CyberDoyen SIEM?

Performance at Scale: Supports up to 50,000 EPS (events per second) on a standard 3-node cluster.
Flexible Architecture: Easily adapt to new log sources, detection techniques, and scaling requirements.
Rapid Threat Detection: Advanced machine learning and rule-based detection ensure faster response times.
Customizable Dashboards: Visualize only the information that matters most to your team.

Ready to dive deeper?
See the Installation Guide and Performance Tuning Guide for next steps.