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  • Anomaly detection in Endpoint analytics - Microsoft Endpoint Manager
    Permissions: Anomaly detection uses built-in role permissions Anomalies tab Sign in to the Microsoft Intune admin center Select Report > Endpoint analytics > Overview Select Anomalies tab The Anomalies tab provides a quick overview of the anomalies detected in your organization In this example, the Anomalies tab shows an anomaly with
  • Real-Time Anomaly Detection in Network Operations Using AIOps . . . - Medium
    Real-time anomaly detection, powered by AIOps, offers a solution AIOps combines AI-driven insights, automated detection, and real-time response workflows to predict and resolve network anomalies
  • AI in anomaly detection: Use cases, methods, algorithms and solution
    Explore the power of AI in anomaly detection, diving into the different approaches used and some real-world use cases Learn how AI uncovers hidden patterns in data and improves detection of anomalies
  • AI Anomaly Detection: Applications and Challenges in 2024 - TechMagic
    Explore AI Anomaly Detection thorough introduction covering techniques, applications, and insights in 2024 In the data-driven world, the exponential growth of data across industries is undeniable From financial transactions to healthcare records and manufacturing processes, the surge in data complexity demands robust mechanisms for effective management and analysis
  • GitHub - AubFigz Anomaly_Detection: This project implements a real-time . . .
    This project implements a real-time anomaly detection system using unsupervised machine learning models and AI-driven solutions It integrates components such as data ingestion from Kafka, model training, anomaly detection, real-time alerting, object detection in CCTV footage using YOLO, and deployment to AWS Lambda or Google Cloud
  • The Top 10 Endpoint Detection And Response Solutions - Expert Insights
    Sophos Intercept X Endpoint is a comprehensive endpoint detection and response (EDR) solution that leverages AI to protect against known and evolving threats in real time It combines traditional threat detection with advanced anti-ransomware capabilities, including automated file recovery and incident analysis
  • How to Detect and Respond to Endpoint Anomalies - HogoNext
    Endpoint anomaly detection and response is a critical component of any comprehensive cybersecurity strategy By implementing a multi-layered approach that combines advanced tools, techniques, and best practices, organizations can effectively detect and respond to threats, safeguarding their valuable data and maintaining business continuity
  • Anomify: Anomaly Detection AI
    Most anomaly detection platforms use unsupervised learning, which creates a disconnect between the user and the model which makes the anomaly assessment Anomify’s transparent supervision provides a human explanation for the predictions it makes
  • AI Based Anomaly Detection in Endpoint Logs - ResearchGate
    Artificial Intelligence (AI) has achieved significant advancements in anomaly identification Software systems frequently document critical runtime data in system logs for diagnostic purposes
  • Advanced Anomaly Detection to Identify Insider Threats - Proofpoint
    This enables fast and efficient model switching MMEs allowed us to manage several models under a single endpoint, streamlining our deployment strategy This allowed us to scale seamlessly as the number of tenants increased Future work In the future, we plan to use LLMs and AI agentic workflows to augment our anomaly detection pipeline





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