AIOps + Unified Observability + Security
Ennetix Unifies IT Performance And Security Observability On A Single AI-Powered Platform — So Your Teams Detect Anomalies, Isolate Root Causes, And Act Faster Than Ever Before.
IT Teams Run Multiple Disconnected Tools, Yet Still Miss Outages, Drown In Alerts, And Spend Hours Finding Root Causes That Should Take Minutes To Detect.
IT operations teams often work across multiple dashboards that do not share context with each other.
High alert volume makes it difficult for teams to separate real operational signals from background noise.
Teams spend valuable time manually correlating telemetry across separate systems while service impact grows.
Service disruptions affect users, operations, and trust when teams cannot detect and resolve issues fast enough.
Performance and security teams operate in separate silos — blind to each other’s signals.
Legacy monitoring tools weren’t designed for hybrid infrastructure, cloud-native apps, or AI-driven operations.
Ennetix xVisor changes this. One AI-powered platform that unifies performance and security observability — giving your teams the clarity to act, not just react.
Ennetix xVisor Brings Several Capabilities Together on a Single Pane of Glass.
One platform. Network, infrastructure, application, and security — all correlated, all visible, all in real time.
ML-driven anomaly detection that learns your environment, surfaces what matters, and suppresses the rest.
End-to-end visibility across physical, virtual, and cloud networks. Spot degradation before users do.
Correlate performance and security signals in one view. Detect threats that hide inside normal-looking traffic.
Stop manual correlation. Ennetix xVisor traces the chain of causality and pinpoints the exact failure source in minutes.
Know what may fail before it does. Act on trends, not incidents. Move from reactive response to proactive IT operations.
Powered by Generative and Agentic AI methods — Ennetix xVisor explains every decision in plain language, so your team understands why an alert fired and what to do next.
Detect insider threats and anomalous user behavior by correlating identity signals with network and infrastructure telemetry — before damage is done.
Every incident moves through the same six stages, from first signal to lasting improvement.
360° visibility across network, cloud, infrastructure, and endpoints — inside-out and outside-in.
ML baselines surface real anomalies and collapse thousands of alerts into a single incident.
Performance and security signals linked across layers so nothing hides between teams.
Automated root-cause analysis traces the causal chain and presents a clear diagnosis.
Integrated with ITSM, ServiceNow, Teams, and PagerDuty so the right team acts immediately.
Every incident makes the model smarter. Predictions improve. Outages decrease over time.
Different Industries. Same Relentless Demand For Uptime And Security.
Challenge: Hybrid Cloud Complexity.
Unified Observability across multi-cloud and on-prem infrastructure. Reduce MTTR and eliminate the war room for every major incident.
Challenge: Campus Sprawl And Lean Teams.
Ennetix xVisor gives academic IT teams unified visibility across campuses, research environments, and administrative systems — with alert context to act fast.
Challenge: Secure Public Infrastructure.
Ennetix xVisor helps government IT teams correlate performance and security signals across complex public-sector environments with faster operational context.
Challenge: Massive Scale And SLA Pressure.
Detect service degradation early, isolate faults across distributed infrastructure, and protect service commitments across ISP and telco networks.
Ennetix xVisor is designed from the ground up for the complexity of modern IT – grounded in many decades of R&D at major universities, not retrofitted from decade-old architectures.
Designed for hybrid, multi-cloud, and distributed 24×7 mission-critical infrastructure — not retrofitted for it.
The only platform that correlates IT performance and security signals in a shared context — eliminating the blind spots that siloed tools leave behind.
ML correlation collapses thousands of alerts into a single, actionable incident with clear context.
Automated root-cause analysis helps teams move from alert triage to action with stronger incident context.
Predictive intelligence surfaces what may fail before users open a ticket — giving teams time to act before impact is felt.
GenAI and Agentic AI explain anomalies, recommend remediations, and support resolution workflows — turning raw telemetry into decisions.
Diagnostics for application and network service dependency issues.
Estimated time saved in a large enterprise environment.
Estimated time saved in compromised system monitoring.
Innovation grounded in applied research and patented technology.








Strengthen your network with advanced cyber security services designed to prevent attacks and safeguard your digital assets.
Jim Olson served as a Business Specialist at the Engineering Translational Technology Center (ETTC) at University of California, Davis, advising on company formation, strategy, and financing. He also taught classes as an Adjunct Faculty in the Graduate School of Management at UC Davis for over a decade. Previously, he was Executive Vice President of video compression systems at TANDBERG Television and CEO of SkyStream. At TANDBERG, he focused on building and marketing video compression offerings. Jim has held leadership roles at 3Com Corporation and Hewlett-Packard, where he led several successful product launches. He is an active angel investor and a guest lecturer at Stanford University and UC Davis. Jim holds a BSEE from UC Davis, and MSEE and MBA degrees from Santa Clara University.
Sudip Nandy is an acclaimed business leader with over 30 years of experience in global strategy, enterprise building, and investments. He is currently a Senior Advisor and has previously served as Managing Director and Operating Partner at ChrysCapital, a leading investment firm. He was Executive Chairman of Infogain Corporation and Board Member at Liquid Hub Inc. Sudip is also a Director on the Board of GeBBS Healthcare. Earlier, he was CEO and Chairman (India) for Aricent. He is the former Chief Strategy Officer and Head of M&A at Wipro, where he led several successful mergers and acquisitions. Sudip holds a Bachelor’s Degree in Physics from the Indian Institute of Technology (IIT), Kharagpur, and another in Electrical Technology and Electronics from the Indian Institute of Science (IISc), Bengaluru. He also has an MBA from the Indian Institute of Management (IIM), Ahmedabad.
Prem Jain was CEO and Co-Founder of Pensando Systems, a cloud and enterprise data center startup, which was founded in 2017 and acquired by AMD in 2023. Before Pensando, Prem spent 23 years at Cisco Systems, where he was known as the “heart, soul, and brains” behind several successful startups. As the Senior Vice President and General Manager of Insieme BU, he developed Software Defined Networking (SDN/ACI) products and next-generation data-center switches. Prem joined Cisco in 1993 after it acquired Crescendo Communications, where he was Vice President of Systems Architecture. He holds a B.E. from Birla Institute of Technology and Science (BITS), Pilani, and a Master’s in Electrical and Computer Engineering from University of California, Davis.
Ashok Madanahalli brings 30+ years of experience in networking and cybersecurity at industry leaders such as Riverbed, Check Point, Extreme Networks, and FORE Systems where he built and led high-performance teams delivering product and market share leadership. At Riverbed, Ashok served as Vice President of Product Management (WAN Optimization and SD-WAN) leading the business transformation to Cloud and SaaS. He has also led Firewall/VPN/UTM and IDS/IPS solutions. Ashok holds a master’s degree in engineering from University of Oklahoma and a bachelor’s degree from National Institute of Technology, Durgapur, India.
Trevor leads Ennetix’s efforts on full-stack design and development of the company’s analytics pipeline. He manages the operations of Ennetix platforms across its customer base.
Todd pioneered the field of network security monitoring in the 1990s with the development of the first widely deployed intrusion detection system, the Network Security Monitor (NSM). In addition to network-based security, he has developed intrusion detection sensors for Windows, Linux, and macOS. Todd is currently focused on bringing innovative network and endpoint security monitoring solutions to Ennetix’s xVisor platform.
Pulak Chowdhury, Founder and CTO, Ph.D., Computer Science, UC Davis
Pulak brings a unique combination of deep networking technology background with advanced research work in Computer Science. He provides overall architectural direction and drives the development activities on xVisor with a highly talented team.
Prof. Dr. Bis Mukherjee, Founder and President (also Distinguished Professor, UC Davis), Ph.D., Electrical Engineering, University of Washington, Seattle, B.Tech. (Hons.), Electronics Engineering, Indian Institute of Technology, Kharagpur
Acknowledged authority in pioneering network technologies for 35+ years. His pioneering contributions in the networking world include:
Modern IT environments are too complex for traditional monitoring. Unified Observability brings together network observability, application telemetry, and security signals into a single, correlated view, giving IT and security teams the context they need to detect anomalies, perform automated root-cause analysis, and prevent downtime before it happens. Ennetix xVisor delivers this Unified Observability for Enterprise, Academia, Government, and ISP / Telco environments operating across hybrid and cloud-native infrastructure. By combining Predictive Intelligence with real-time IT observability, Ennetix xVisor enables organizations to move from reactive incident response to proactive operations, reducing alert fatigue, cutting mean time to resolution, and aligning performance and security teams on a single source of truth.
Unified Observability is the practice of collecting and correlating telemetry data across your entire IT environment, including network, infrastructure, applications, and security, in a single platform. Unlike traditional monitoring, which creates silos, Unified Observability gives teams shared context so they can detect, correlate, and resolve issues faster.
AIOps applies machine learning and AI to IT operations data. It learns what “normal” looks like in your environment, surfaces anomalies that matter, collapses correlated alerts into single incidents, and automates root-cause analysis — so your team spends time resolving problems, not manually searching for them.
Ennetix xVisor uses ML-driven correlation to group related alerts into a single Incident of concern with a clear causal chain. Instead of receiving thousands of individual notifications during an IT infrastructure or security event, your team sees one incident with context, priority, and a suggested root cause.
Yes. Ennetix xVisor correlates performance and security signals on a shared timeline. Threats that disguise themselves as performance anomalies — or performance issues triggered by security events — become visible when both data streams are analyzed together. This gives security and ITOps teams a shared context they rarely have with separate tools.
Instead of manually correlating logs across many (e.g., 5) different dashboards, automated root-cause analysis traces the chain of causality automatically — identifying which component failed, what triggered it, and what downstream effects followed. This cuts mean time to resolution (MTTR) significantly and removes the guesswork from major incident management.
Traditional monitoring tools were built for simpler, more homogeneous environments. They generate alerts without context, don’t correlate across domains, and require significant manual effort to diagnose issues. Ennetix xVisor is purpose-built for modern hybrid infrastructure, using AI to support correlation, analysis, and prioritization so your team can focus on resolution.
