Skip to main content

Ivanti to Integrate Cherwell ITSM Solutions with Ivanti Neurons Platform

Ivanti announced its vision for the convergence of Ivanti and Cherwell solutions, continuing its plans to layer on hyper-automation with the Ivanti Neurons platform to self-service, self-heal and self-secure the Everywhere Workplace.

Every line of business can now benefit from the combination of technologies from Ivanti and Cherwell and apply hyper-automation to deal with increased IT demand and complexity in today’s hybrid and remote work environment.

Ivanti acquired Cherwell in March 2021 to expand the reach of its Ivanti Neurons platform, and to help cement Ivanti’s position as one of the only enterprise service management vendors to offer end-to-end service and asset management from IT to lines of business and from every endpoint to the IoT edge. With a converged roadmap, Ivanti is integrating the platforms and introducing innovations in a way that will benefit both Ivanti and Cherwell customers.

“Integrating Cherwell with the Ivanti Neurons solutions has already benefitted existing Cherwell customers in a number of ways,” said Nayaki Nayyar, President, Service Management Solutions, and Chief Product Officer at Ivanti. “Through the introduction of self-healing, self-securing and improved self-service capabilities to the Cherwell solutions, we have accelerated the roadmap significantly. We are committed to the success of every customer, and they can also expect to benefit from a more frequent and regular cadence of product releases.”

“The potential uses for service management tools has evolved past its roots in IT support,” said Adam Holtby, Principal Analyst at Omdia. “As covered in our recent report on Enterprise Service Management, the acquisitions made by Ivanti have significantly strengthened its offering and the way that it supports digital workspace initiatives.”

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

Ivanti to Integrate Cherwell ITSM Solutions with Ivanti Neurons Platform

Ivanti announced its vision for the convergence of Ivanti and Cherwell solutions, continuing its plans to layer on hyper-automation with the Ivanti Neurons platform to self-service, self-heal and self-secure the Everywhere Workplace.

Every line of business can now benefit from the combination of technologies from Ivanti and Cherwell and apply hyper-automation to deal with increased IT demand and complexity in today’s hybrid and remote work environment.

Ivanti acquired Cherwell in March 2021 to expand the reach of its Ivanti Neurons platform, and to help cement Ivanti’s position as one of the only enterprise service management vendors to offer end-to-end service and asset management from IT to lines of business and from every endpoint to the IoT edge. With a converged roadmap, Ivanti is integrating the platforms and introducing innovations in a way that will benefit both Ivanti and Cherwell customers.

“Integrating Cherwell with the Ivanti Neurons solutions has already benefitted existing Cherwell customers in a number of ways,” said Nayaki Nayyar, President, Service Management Solutions, and Chief Product Officer at Ivanti. “Through the introduction of self-healing, self-securing and improved self-service capabilities to the Cherwell solutions, we have accelerated the roadmap significantly. We are committed to the success of every customer, and they can also expect to benefit from a more frequent and regular cadence of product releases.”

“The potential uses for service management tools has evolved past its roots in IT support,” said Adam Holtby, Principal Analyst at Omdia. “As covered in our recent report on Enterprise Service Management, the acquisitions made by Ivanti have significantly strengthened its offering and the way that it supports digital workspace initiatives.”

The Latest

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...