Zero Incident Framework

Zero Incident Framework

Zero Incident Framework is an AIOps-based TechOps Platform that takes a proactive approach to detect and remediate incidents. It offers capabilities such as auto-discovering applications, understanding dependencies, end-to-end monitoring of devices and applications, and establishing acceptable performance baselines using machine learning. This proactive detection allows interference and remediation well before incidents occur.

Through consultancy services, ZIFTM helps organizations implement and optimize AIOps, providing expertise in analyzing IT infrastructure, recommending suitable tools, and streamlining operations for enhanced efficiency, reliability, and cost-effectiveness. In essence, ZIFTM aims to empower organizations to achieve a state of Zero Incident by leveraging AI-led predictions and auto-remediation to prevent incidents from happening in the first place.

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Manya Goyal

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