ZIFTM
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About
Zero Incident Framework (ZIFTM) is an award-winning AIOps tool using advanced, patent-pending machine learning to provide enterprise computer infrastructures with business service level assurance trending toward zero downtime. It includes AI-based predictive analytics, bot-based remediation, monitoring, and virtualized desktop infrastructure, deployable individually or as an integrated solution. ZIFTM is available on-premise and as a SaaS solution.
Platform
Features
• predictive analytics
• monitoring
• virtualized desktop infrastructure
• bot based remediation
FAQs
We've invested heavily in monitoring tools and ITSM; how does ZIF complement them?
Many traditional monitoring tools are reactive, offering rule-based alerts. ZIFTM's Analyze & Predict functions, when deployed on these tools, transform reactive alerts into predictive insights, reducing noise and leveraging existing investments with minimal effort.
Can ZIFTM eventually replace all existing monitoring tools, improving cost efficiency?
ZIFTM offers full-stack visibility. Its 'Monitor' function tracks application, server, network, and database performance, providing an aggregate view. Some customers have replaced their monitoring solutions after deploying the ZIFTM suite.
How does ZIFTM integrate with existing tools?
Most tools offer APIs for data extraction. ZIFTM uses an API-based approach to aggregate data from ITSM, monitoring, CMDB, and KM tools/platforms. This data is then ingested for analysis.
How easy is it to build new connectors?
New connectors can be built in 2–5 days. The data collector layer is agnostic of the data source.
How long does it take to deploy and configure ZIFTM?
ZIFTM and its components can be deployed in two weeks; initial results are available in four. This includes tool integration, platform configuration, and AI/ML model training for the enterprise context.
How does ZIFTM differ from competitive tools/platforms?
No single platform offers ZIFTM's breadth of coverage—discovery, monitoring, prediction, and automation. Traditional tools are rule-based and depend on CMDB and enterprise context. ZIFTM uses pattern-based correlation, making it self-intelligent and CMDB-independent.
Is ZIFTM on-premise or cloud-based?
ZIFTM is primarily cloud-based, connecting to on-premise components via VPN. However, it can be deployed on-premise for organizations with regulatory requirements preventing external data transfer.
Can technicians access the platform on mobile devices?
Yes, the interface is responsive, intuitive, and device-agnostic.
What post-implementation support is provided?
24/7 post-implementation support is available via email, phone, and chat.
How quickly are results visible after installation?
ZIFTM is easy to configure; dashboards with enterprise data are available in 2–4 weeks. Correlations and noise reduction are functional in 4–6 weeks, while predictive accuracy improves in 8–10 weeks.
What's the accuracy of the results, and how does it improve over time?
ZIFTM's pattern-based approach delivers high accuracy—90–95% noise reduction, 70–80% accuracy in event correlation, and 75+% accuracy in predictive insights. Accuracy improves with use due to self-learning.
Does the monitor support on-premise, cloud, and hybrid workloads?
Yes, ZIFTM supports on-premise, hybrid, and cloud workloads.
Is automation limited to IT processes?
ZIFTM provides about 125 out-of-the-box workflows. New workflows and custom processes can be automated using the workflow engine, enabling automated remediation for standard L1/L2 IT procedures.
What's the typical reduction in incidents, and how successful is it in achieving a Zero Incident Enterprise™?
The industry average for incidents is 1.3–1.5 per user per month. ZIFTM can reduce this significantly, with many implementations showing a reduction to 0.35–0.4 incidents per user per month. ZIFTM also improves business service availability and user experience.
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