Ennetix develops the xVisor AIOps platform, which utilizes AI and machine learning to provide real-time performance and security monitoring of IT networks and applications. This technology addresses the challenges of network outages and security vulnerabilities by enabling rapid anomaly detection and automated remediation, significantly reducing resolution times from weeks to hours.
Funding
$1.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Modern IT environments are increasingly complex, making it difficult for IT organizations and managed service providers to effectively monitor and manage networks and applications. Traditional monitoring approaches often involve stitching together multiple legacy solutions, resulting in disjointed triage, a lack of unified performance and security insights, and an absence of preemptive degradation insights prior to outages. This complexity leads to increased downtime, security vulnerabilities, and higher operational costs.
Solution
Ennetix's xVisor AIOps platform provides deterministic digital operations through AI/ML-powered analytics that intelligently infers performance and security deviations and correlates root causes of outages in real-time. The platform offers comprehensive observability, multi-dimensional correlation, real-time and predictive anomaly detection, and automated remediation. By using xVisor-driven AIOps solutions based on Zero-Trust principles, clients can get actionable information to drive productivity and revenue, reducing resolution times from weeks to hours.
Target Audience
The primary target audience includes enterprise IT organizations, managed service providers, Internet Service Providers (ISPs), and academic and government institutions seeking to improve network reliability, enhance security, and reduce operational costs.
Features
- Comprehensive observability across networks, applications, and resources
- Multi-dimensional correlation of performance and security data
- Real-time and predictive anomaly detection using AI/ML algorithms
- Automated root-cause analysis to identify the underlying causes of network disruptions
- Automated remediation to quickly resolve issues and prevent future occurrences
- Continuous monitoring of IT systems for real-time insights into potential security threats
- Automated vulnerability detection using AI-powered analytics to identify weak points
- Compliance support with continuous auditing and recommendations for maintaining regulatory adherence
- Detailed audit reports providing actionable insights and step-by-step remediation guidance
- Integration with existing IT infrastructures for a smooth onboarding process
- Endpoint software (xTend) for real-time system monitoring and security assessments
- Support for various Linux distributions with minimal disruption
- Modular service architecture for customizable data collection and analysis