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SAM Anomaly Detection Technical Architecture

Overview​

SAM's Anomaly Detection system is built on a sophisticated enterprise architecture that combines AI-driven intelligence, scalable processing, and comprehensive business intelligence to deliver high-performance anomaly detection at scale across diverse data types and business contexts.

System Architecture​

High-Level Architecture Diagram​

High-Level Architecture Diagram

Core Components​

1. Request Processing Layer​

  • FastAPI Routers: High-performance async API endpoints for anomaly detection requests
  • Authentication Middleware: JWT-based security and organization-level data isolation
  • Request Validation: Pydantic schemas for input validation and data structure verification
  • Error Handling: Structured error responses with detailed logging and monitoring

2. AI Orchestration Layer​

  • LangGraph Agent System: AI-driven algorithm selection and execution orchestration
  • SAM (Systematic Agentic Modeling): Intelligent algorithm selection based on data analysis
  • Multi-Agent Architecture: Specialized agents for different detection scenarios
  • State Management: Conversation context and execution state tracking across sessions

3. Data Management Layer​

  • Data Source Manager: Universal data ingestion from files, databases, and APIs
  • PostgreSQL Database: Metadata storage, job tracking, and results persistence
  • Data Transformation Pipeline: Advanced preprocessing and feature engineering
  • Quality Validation System: Automated data quality assessment and cleaning

4. Processing Engine​

  • Background Job System: Non-blocking execution with real-time status tracking
  • Multi-Algorithm Processing: Parallel execution of selected detection algorithms
  • GPU Acceleration: CUDA support for neural network-based detection methods
  • Resource Management: Dynamic CPU/GPU allocation with load balancing

5. Storage and Delivery​

  • Azure Blob Storage: Scalable cloud storage for detection results and visualizations
  • Result Processing: Multi-format output generation (CSV, PDF, Interactive Dashboards)
  • Caching Layer: Performance optimization for repeated analyses and model persistence
  • Content Delivery: Secure download links and real-time result notifications

SAM Anomaly Detection Architecture​

SAM Anomaly Detection System Architecture

Data Flow Architecture​

1. Data Ingestion & Preprocessing​

Data Ingestion and Preprocessing Flow

2. SAM Intelligence Pipeline​

SAM Intelligence Pipeline Flow

3. Multi-Algorithm Detection Engine​

Multi-Algorithm Detection Engine Flow

4. Business Intelligence Generation​

Business Intelligence Generation Flow

Integration Architecture​

Chatbot Interface Integration​

Chatbot Interface Integration Flow