#Anomaly Detection

Anomaly detection identifies unusual patterns that may indicate fraud, security breaches, or system failures. Articles cover Go-based anomaly detection for financial security, statistical and ML-based approaches, and the engineering patterns for real-time anomaly detection in production systems.

1 post tagged with anomaly detection. ← All posts

A2A (5)ADK (8)AG-UI (7)AI Agents (232)AI Governance (5)Agent Skills (3)Agentic AI (13)Agents (4)Anomaly Detection (1)Architecture (15)Azure (9)Azure AI Foundry (10)BigQuery (6)Checkpointing (5)Compliance (8)Concurrency (4)Context Providers (3)Conversation State (3)Cost Optimisation (3)Distributed Systems (3)Evaluation (4)FREE-AI (8)FinOps (5)FinTech (6)Function Tools (6)GCP (5)Go (168)Google ADK (26)Governance (5)Guardrails (3)HIPAA (3)Harness Engineering (8)Human-in-the-Loop (7)KYC (3)Kubernetes (6)LangGraph (11)Microsoft Agent Framework (21)MCP (5)Memory (5)Microsoft Agent Framework (188)Middleware (9)Multi-Agent (8)Multi-Agent AI (13)Multimodal (4)Observability (12)Open Source (6)OpenTelemetry (5)Opinion (6)Orchestration (15)Payments (4)Privacy Engineering (3)Providers (3)Python (126)RAG (6)RBI (3)Retrieval (3)SRE (3)Security (9)Sessions (4)Spanner (4)Streaming (4)Structured Output (4)Workflows (14)

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.