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Corvil Announces Intelligence Hub

Corvil announced Intelligence Hub, providing digital intelligence to improve the performance, agility and digital experience of today’s modern businesses. Intelligence Hub offers the potential to dramatically change how organizations see, manage and optimize their business and supporting technology operations.

Intelligence Hub provides proactive alerting on changes in these dimensions and allows business and operations teams to flexibly visualize, explore and analyze this key information for more informed action.

Applying machine learning and big data analytics to Corvil’s unique capture of high fidelity business data from the network, Intelligence Hub accurately identifies anomalies, triages areas of greatest concern, and has capabilities to predict conditions for improved planning.

“We believe digital intelligence will become one of the most valuable sources of actionable business and operational insight for companies to achieve superior digital experiences and influence their wider business strategy,” said Donal Byrne, Corvil CEO. “In addressing the disparities between digital vision and digital performance, Intelligence Hub has made it easy for companies to turn the vast volumes of customer transactions, preferences, communications, etc. they generate into powerful, real-time, correlated and self-service insight, enabling them to move fast and stay secure in the digital world.”

Corvil Analytics engines provide a rich, precision-sequenced, and normalized source of data from network communications, creating an ideal dataset for AI application. Rapidly deployable, Intelligence Hub ingests this real-time streaming data, as well as certain external data sources and, correlating performance anomalies, highlights areas for action. To enable efficient investigation and analysis workflows, Intelligence Hub maintains a full record and traceable links to source data.

Intelligence Hub also provides a comprehensive set of easy-to-use, visualizations, allowing multiple teams (business, IT operations, network, security, risk and compliance, etc.) to see, explore, and perform multidimensional analyses of the information of greatest relevance and share findings in a consumable manner.

Example insights and analyses:

- Business teams can see, and be alerted to, changes in customer or business behaviors relating to areas such as total business transacted, individual orders, products, conversion or fill rates, and response times

- IT Operations teams can more efficiently and proactively manage their environments with flexible exploration and alerting to changes in areas such as user response and performance by service or application tier, resources in use by device and account, or activity by location

- Security Operations teams can see correlated risk levels across dimensions of users, devices, resources, and patterns as well as be alerted to user behaviors that differs from department profile or changes in machine access

“We have designed Intelligence Hub with accessibility and extensibility in mind, to offer an intuitive user experience for multiple roles and to enable them to apply machine learning-driven anomaly detection to the data elements they each deem most important,” said Donal O’Sullivan, Corvil, VP, Product Management. “Consequently, it has the power to shift roles of IT Ops and Sec Ops from executing IT delivery objectives to digital leaders driving more business-based measures.”

Dennis Drogseth, Enterprise Management Associates VP, said: "Corvil’s Intelligence Hub combines dynamic and reliable rich data with machine learning and persona-driven awareness. As such, the Intelligence Hub can serve as a bridge to enable superior IT-to-business alignment, with unique insights into business ecosystem interdependencies as well as application and infrastructure behaviors. In parallel, it can help to bridge operations and security requirements to support superior levels of efficiency on both sides of the Sec/NetOps handshake, and in this way unify IT more effectively as a whole.”

Corvil Intelligence Hub is a software solution, deployable on customer hardware or in the cloud and can be easily scaled out to support the needs of organizations of all sizes. It is currently in use by early adopter customers and will be generally available later this summer.

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Corvil Announces Intelligence Hub

Corvil announced Intelligence Hub, providing digital intelligence to improve the performance, agility and digital experience of today’s modern businesses. Intelligence Hub offers the potential to dramatically change how organizations see, manage and optimize their business and supporting technology operations.

Intelligence Hub provides proactive alerting on changes in these dimensions and allows business and operations teams to flexibly visualize, explore and analyze this key information for more informed action.

Applying machine learning and big data analytics to Corvil’s unique capture of high fidelity business data from the network, Intelligence Hub accurately identifies anomalies, triages areas of greatest concern, and has capabilities to predict conditions for improved planning.

“We believe digital intelligence will become one of the most valuable sources of actionable business and operational insight for companies to achieve superior digital experiences and influence their wider business strategy,” said Donal Byrne, Corvil CEO. “In addressing the disparities between digital vision and digital performance, Intelligence Hub has made it easy for companies to turn the vast volumes of customer transactions, preferences, communications, etc. they generate into powerful, real-time, correlated and self-service insight, enabling them to move fast and stay secure in the digital world.”

Corvil Analytics engines provide a rich, precision-sequenced, and normalized source of data from network communications, creating an ideal dataset for AI application. Rapidly deployable, Intelligence Hub ingests this real-time streaming data, as well as certain external data sources and, correlating performance anomalies, highlights areas for action. To enable efficient investigation and analysis workflows, Intelligence Hub maintains a full record and traceable links to source data.

Intelligence Hub also provides a comprehensive set of easy-to-use, visualizations, allowing multiple teams (business, IT operations, network, security, risk and compliance, etc.) to see, explore, and perform multidimensional analyses of the information of greatest relevance and share findings in a consumable manner.

Example insights and analyses:

- Business teams can see, and be alerted to, changes in customer or business behaviors relating to areas such as total business transacted, individual orders, products, conversion or fill rates, and response times

- IT Operations teams can more efficiently and proactively manage their environments with flexible exploration and alerting to changes in areas such as user response and performance by service or application tier, resources in use by device and account, or activity by location

- Security Operations teams can see correlated risk levels across dimensions of users, devices, resources, and patterns as well as be alerted to user behaviors that differs from department profile or changes in machine access

“We have designed Intelligence Hub with accessibility and extensibility in mind, to offer an intuitive user experience for multiple roles and to enable them to apply machine learning-driven anomaly detection to the data elements they each deem most important,” said Donal O’Sullivan, Corvil, VP, Product Management. “Consequently, it has the power to shift roles of IT Ops and Sec Ops from executing IT delivery objectives to digital leaders driving more business-based measures.”

Dennis Drogseth, Enterprise Management Associates VP, said: "Corvil’s Intelligence Hub combines dynamic and reliable rich data with machine learning and persona-driven awareness. As such, the Intelligence Hub can serve as a bridge to enable superior IT-to-business alignment, with unique insights into business ecosystem interdependencies as well as application and infrastructure behaviors. In parallel, it can help to bridge operations and security requirements to support superior levels of efficiency on both sides of the Sec/NetOps handshake, and in this way unify IT more effectively as a whole.”

Corvil Intelligence Hub is a software solution, deployable on customer hardware or in the cloud and can be easily scaled out to support the needs of organizations of all sizes. It is currently in use by early adopter customers and will be generally available later this summer.

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...

The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...

The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...

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Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...

The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...