target audience: TECH BUYER  Publication date: Feb 2023 - Document type: IDC Perspective - Doc  Document number: # US50027123

Applications of AI for Anomaly Detection

By:  Raghunandhan Kuppuswamy Loading

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Table of Contents


  • Executive Snapshot

    • Figure: Executive Snapshot: More and More Organizations Are Embracing AI-Powered Anomaly Detection to Identify Anomalies

  • Situation Overview

    • AI-Powered Anomaly Detection

    • What Are the Various Anomaly Detection Techniques?

    • Supervised Anomaly Detection

    • Figure: Supervised Anomaly Detection

    • K-Nearest Neighbors

    • Z-Score

    • Decision Tree Algorithm

    • Support Vector Machines

    • Bayesian Networks

    • Unsupervised Anomaly Detection

    • Figure: Unsupervised Anomaly Detection

    • K-Means Clustering

    • Autoencoders

    • Isolation Forest

    • Local Outlier Factor

    • Semi-Supervised Anomaly Detection

    • Anomaly Detection on Edge Devices

    • Use Cases

    • AI-Powered Anomaly Detection in Banking

    • AI-Powered Anomaly Detection in Cybersecurity

    • AI-Powered Anomaly Detection in Healthcare

    • Companies to Watch in the AI-Powered Anomaly Detection Space

  • Advice for the Technology Buyer

  • Learn More

    • Related Research

    • Synopsis