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8 articles
Learn to build a basic AI agent system that can monitor network traffic and detect unusual patterns, similar to security systems that protect against rogue AI behavior.
Learn to build an AI model monitoring system that tracks performance metrics and detects anomalies before they become problematic, using Python and common ML libraries.
Learn how to build a basic AI-powered anomaly detection system that can identify potential threats in sensor data, similar to systems being developed by NATO.
Learn to build an AI quality control system that can detect manufacturing anomalies before they become costly problems, similar to what Ford needed to prevent their AI quality issues.
TimeCopilot combines foundation models with automated anomaly detection to build robust forecasting pipelines. The platform supports probabilistic forecasts, visualization, and LLM-powered model selection.
Learn to build an AI agent monitoring system that detects anomalous behavior in AI agents using Python and machine learning techniques.
Learn to build a basic AI-powered network security monitoring system that can detect anomalous network behavior using One-Class SVM and real-time monitoring techniques.
Learn to build a cybersecurity AI monitoring system using Python and machine learning that can detect anomalous network behavior patterns, a key component of the governed AI systems emerging in 2026.
