This Complete Survey Results presentation focuses on the current trends in endpoint management and security, including the approaches taken and challenges experienced by organizations, as well as the desire to consolidate management and security technologies and processes.
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End users across industries are inspired by and curious about the possibilities of using AI to help them do their jobs more efficiently. However, organizations find themselves at varying levels of harnessing that enthusiasm while properly accounting for AI use risks like cybersecurity and inaccurate results. Recent research by Enterprise Strategy Group investigated how end users are experiencing the rollout and support of AI initiatives at their organizations and found that many teams are leaving their businesses open to risk.
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Organizations seeking to successfully implement AI, particularly AI agents, must prioritize solutions that offer robust safety controls and compliance integration to mitigate risks. Microsoft makes its case to be the AI safety vendor of choice with Azure AI Foundry.
To learn more, download the free brief, Microsoft Azure AI Foundry Adds Sophisticated Risk Controls.
Organizations continue to face increasing complexity in endpoint management and security that is driven by the rapid expansion of remote work, rising device and OS sprawl, vulnerability management and incident response challenges, and continuing threats like ransomware. At the same time, the growing influence of AI and automation is reshaping both offensive and defensive strategies—empowering defenders with new tools while enabling bad actors to launch more sophisticated attacks.
To gain further insight into these trends, how organizations are attempting to overcome challenges, and the results of their efforts, Enterprise Strategy Group surveyed 364 IT and cybersecurity professionals in North America (U.S. and Canada) responsible for evaluating, purchasing, and managing endpoint management and/or security technologies.
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Demands for breakneck speed in application development certainly aren’t going away in increasingly competitive business environments. However, teams that do so at the expense of robust cybersecurity practices threaten the viability of their organization when a successful attack on any application can compromise the business. Recent research by Enterprise Strategy Group investigated how organizations are incorporating security into application development processes, especially amid rapid cloud-native application development conditions.
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IT professionals, application developers, and cybersecurity teams all play critical roles in ensuring timely and secure development and deployment of cloud-native applications. However, these teams do not always have the same perspective on the practices, roles, and tool strategies that will best accomplish those goals. Recent research by Enterprise Strategy Group revealed the differences in how these groups perceive DevOps and DevSecOps processes at their organizations today.
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Challenged by the often-competing demands of the modern organization, many IT leaders are looking to modernize their infrastructure, especially as they look to take advantage of the AI opportunity. The timing of Lenovo’s latest—and comprehensive—set of updates to its storage infrastructure portfolio therefore couldn’t be better. Of particular note are the investments the company is making to create integrated solutions aimed at helping enterprises make a fast start around AI, as well as optimize their virtualization environments.
To learn more, download the free brief, Lenovo’s Extensive Storage Refresh Takes Aim at AI With Solution-oriented Focus.
What does it mean to be ready for AI agents? Having a full understanding of and access to all of your data, with strong data governance, security, and data quality, is critical for AI success. The challenge to effectively empower employees and the business to utilize the mountain of unstructured data plagues many organizations, and now with the critical need to use this data as a foundation for AI use cases across the business, there is a hyperfocus on data readiness for AI. Glean, a leader in enterprise search and AI agents, is quickly enabling its customers to take advantage of AI agents for every employee and line of business. The strategy of implementing enterprise search to help build the data foundation for AI is one that organizations should strongly consider.
To learn more, download the free brief, Glean Empowers Enterprises to Deliver AI Agents at Scale, Built on Their Existing Data Foundation.
As organizations rush to understand and deploy AI agents, they are quickly realizing the need for an AI-powered data platform that can help prepare their data for AI and analytics empowerment. The same data foundation is required for both, making the transition from an analytic platform to an AI platform a natural one. The same data quality, governance, and trust needed for analytics are necessary for generative AI and AI agents. With its new agent-building tools and data lake capabilities, including Iceberg, Qlik demonstrates thought leadership as it continues to meet market and customer demands.
To learn more, download the free brief, Qlik, an Analytics and Data Integration Leader, Is Quickly Empowering AI Agents for Its Customers and Addressing Core Data Foundation Needs.
Gaps in cybersecurity skill sets, coverage, processes, and technology continue to plague many organizations today, and enterprises across industries are looking to AI and automation solutions to bridge many of these gaps. However, despite rapid advancement of AI technologies, recent research by Enterprise Strategy Group found that many organizations plan to leverage managed services for the foreseeable future to close gaps and accelerate program development.
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Security operations is a core function of cybersecurity, requiring a combination of skilled people, refined processes, and scalable technologies. While once focused on more reactive security functions, modern security operations centers (SOCs) are increasingly responsible for more proactive security functions, including monitoring security posture and status, managing threats and exposure, and analyzing threat intelligence, while continuing to triage, investigate, and respond to suspicious or malicious behavior. Recent research by Enterprise Strategy Group investigated how the size of a SOC impacts the adoption of technologies such as GenAI, leveraging third-party services and increasing organizations’ spending to better support their security operations and fortify their security posture.
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The diverse amalgamation of interfaces, environments, and experiences that comprise the modern IT ecosystem continues to plague operations with unnecessary complexity. According to the Enterprise Strategy Group research report “Navigating the Cloud and AI Revolution: The State of Enterprise Storage and HCI,” 68% of organizations agreed that overall complexity is slowing down their IT operations and initiatives. And, in the digital age of business, nearly anything that will move the needle for business success requires IT.
The quest to simplify IT operations continues to fuel hyperconverged infrastructure adoption, but growing concerns about lock-in and a desire to choose infrastructure means that flexibility has also become a prime consideration.
The drive to deliver the simplicity of a hyperconverged infrastructure while also providing choices in deployment was the central theme of Nutanix’s Next 2025 conference in Washington. Nutanix, a hyperconverged infrastructure and application platform provider, announced multiple new capabilities, partnerships, and solutions designed to help enable users to “run anything anywhere.” To that end, the announcements enable Nutanix to increase its breadth of deployment options while also simplifying the integration of Nutanix technology into existing, competitive environments. Recent announcements included:
Nutanix’s integrated solutions with Pure Storage and Dell Technologies—along with its cloud-native offering—extend Nutanix’s strategy to expand beyond the confines of hyperconverged infrastructure to provide increased infrastructure flexibility to users. The integrations also greatly simplify Nutanix’s ability to integrate into existing production environments, likely using alternative hypervisors such as VMware.
Nutanix’s increased flexibility is a welcome addition because an increasing number of businesses are embracing alternatives in the hypervisor space. According to the aforementioned Enterprise Strategy Group research, 89% of organizations said the ability to use/evaluate multiple hypervisor/orchestration options is strategic.
While Nutanix has the desire and the technology to take a larger share of the market, application platform decisions cannot be made in a vacuum. Nutanix must scale its partner ecosystem to elevate its leadership position. And in that regard, Nutanix has already made progress. For example, Nutanix’s 2023 Next event had 30 sponsors, the 2024 event had 55, and this year’s event had 85.
Nutanix’s architectural adjustments to support external third-party storage from Dell and Pure Storage is an excellent start, but Nutanix will need to expand integration with other storage players, such as Hitachi Vantara, HPE, IBM, and NetApp as well. While Nutanix did not specify any future plans at the event, additional integrated solutions would be the next logical step.
The ability to deploy AOS as a cloud-native solution also provides a key strategic proof point for users. It highlights Nutanix’s commitment to support cloud-native and cloud-only Kubernetes environments. Application platform options must provide a modernization path to support not only where the application environment is, but where it is going (i.e., virtual machines and containers). While the announcement calls out AWS EKS, I would expect Nutanix to take Cloud Native AOS to Azure and Google Cloud as well.
Based on everything I saw and heard at Next 2025, I believe that Nutanix has the technology and people to deliver on its “run anything anywhere” vision. In conversations with its executives, it became clear that Nutanix is hyperfocused on delivering both simplicity and flexibility in its offerings.
Working in Nutanix’s favor is that it isn’t some new startup. Founded 16 years ago, Nutanix has been a key player in both hyperconverged and hypervisor technology for some time. And in conversations at the event, multiple customers complimented its services and support groups in helping to ensure the adoption of Nutanix was a success.
While Nutanix has multiple points in its favor, rapid scale, specifically when adding breadth to the supported environments, can be a difficult undertaking. Vendors can often lose focus and often sacrifice simplicity to support broader functionality. How Nutanix navigates the path of increased flexibility while delivering on simplicity will be something to watch over the next couple of years. Ultimately, businesses need a provider that can help simplify increasingly diverse and distributed application environments, and one that can span across multiple public clouds as well as data centers and edge environments. This strategic trajectory augments Nutanix’s ability to both compete and win against competitors like VMware, Microsoft, and Red Hat. And in a space in which IT decision-makers are seeking alternatives, Nutanix’s focus on flexibility should be very welcome.