Skill UI

This tool deploys advanced machine learning techniques to detect anomalies within Operational Technology (OT) and Industrial Control Systems (ICS) environments. It establishes behavioral baselines by analyzing network traffic (Modbus, DNP3, OPC UA) and communication timing. Use cases include continuous monitoring, detecting zero-day deviations, and enhancing security monitoring platforms beyond standard signature-based intrusion detection.

This skill outlines the systematic process of integrating new data sources (e.g., Firewalls, EDR, Cloud, AD) into a SIEM platform. It covers planning, configuring collectors, building parsers, normalizing data fields (e.g., CIM), and validating data quality to enhance security monitoring and incident detection capabilities.

A comprehensive solution for performing Operational Technology (OT) vulnerability assessments using the Claroty xDome platform. It automatically discovers assets, correlates vulnerabilities using CVE and ICS-CERT advisories, and calculates risk scores. This method is designed for compliance requirements (e.g., IEC 62443, NERC CIP) and initial asset risk profiling, relying on passive monitoring and safe querying rather than active scanning or penetration testing.

This skill provides comprehensive API calls using `curl` to interact with the CAST AI platform. It allows users to list connected Kubernetes clusters, retrieve detailed cost savings reports, and inspect the inventory of managed nodes. It is essential for verifying connectivity, auditing cloud spending, and monitoring resource allocation after onboarding.

This utility publishes various Aegis-related events (such as person detection, alerts, and clip completion) to an MQTT broker. It is designed for seamless integration with smart home and automation platforms like Home Assistant or Node-RED, enabling real-time, event-driven monitoring and system linkage.

This extension component is integral to the KubeSphere Observability Platform. It provides robust mechanisms for collecting, processing, and storing Kubernetes events using the kube-events-exporter. Users can leverage the detailed event query API to gain deep insights into cluster activity, making it essential for comprehensive system monitoring and observability setup.

WizTelemetry Ruler is a core extension component within the KubeSphere Observability Platform. It provides comprehensive capabilities for defining, managing, and evaluating advanced alerting rules. Users can configure rules based on native Kubernetes events, KubeSphere auditing events, and application logs, ensuring proactive monitoring and timely alerts through sinks like AlertManager.