Healthcare's GenAI Gold Rush Is Here, But The Infrastructure Isn't Ready
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organisations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale.
'In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.'
This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent.
'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved.'
Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include:
GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organisations when it comes to leveraging or expanding utilisation of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organisation could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organisations.
Prioritise infrastructure modernisation to support GenAI at scale across healthcare organisations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritise infrastructure investments and modernisation as a key enabling component of GenAI initiatives.
GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organisation is leveraging GenAI applications/workloads today. Most healthcare organisations believe GenAI solutions will help improve levels of productivity, automation, and efficiency.
Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organisations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity.
Application containerisation and Kubernetes® deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organisations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerisation is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organisation is at least in the process of containerising applications.This trend may be driven by the fact that 92% of healthcare respondents agree their organisation benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerisation fits into expansion strategies for new and existing workloads.
For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region.
To learn more about the report and findings, please download the full Healthcare Nutanix Enterprise Cloud Index, here and read the blog here.
About Nutanix
Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
4 hours ago
- Techday NZ
Cybercriminals use GenAI, v0.dev to launch advanced phishing
Research from Okta Threat Intelligence has found that cybercriminals are leveraging Generative Artificial Intelligence (GenAI), specifically the tool from Vercel, to manufacture sophisticated phishing websites swiftly and at scale. Okta's researchers have observed threat actors utilising the platform to create convincing replicas of sign-in pages for a range of prominent brands. According to the team's findings, attackers can build a functional phishing site by inputting a short text prompt, thereby substantially reducing the technical barrier for launching attacks. New methods The research revealed that which is intended to help developers create web interfaces through natural language instructions, is also allowing adversaries to quickly reproduce the design and branding of authentic login sites. In one case, Okta noted that the login page of one of its own customers had been imitated using this AI-powered software. Phishing sites created using often also hosted visual assets such as company logos on Vercel's own infrastructure. Okta Threat Intelligence explained that consolidating these resources on a trusted platform is a deliberate technique by attackers. By doing so, they aim to avoid typical detection methods that monitor for assets served from known malicious or unrelated infrastructures. Vercel responded to these findings by restricting access to the suspect sites and working with Okta to improve reporting processes for additional phishing-related infrastructure. The observed activity confirms that today's threat actors are actively experimenting with and weaponizing leading GenAI tools to streamline and enhance their phishing capabilities. The use of a platform like Vercel's allows emerging threat actors to rapidly produce high-quality, deceptive phishing pages, increasing the speed and scale of their operations. Wider proliferation The report also noted the existence of several public GitHub repositories that replicate the application, along with DIY guides enabling others to build their own generative phishing tools. According to Okta, this widespread availability is making advanced phishing tactics accessible to a broader cohort of cybercriminals, effectively democratising the creation of fraudulent web infrastructure. Further monitoring revealed that attackers have used the Vercel platform to host phishing sites imitating not just Okta customers, but also brands like Microsoft 365 and various cryptocurrency companies. Security advisories related to these findings have been made available to Okta's customers. Implications for security Okta Threat Intelligence underlined that this represents a significant change in the phishing threat landscape, given the increasingly realistic appearance of sites generated by artificial intelligence. The group stressed that safeguarding systems using traditional indicators of poor quality or imperfect design is now insufficient for deterrence. Organizations can no longer rely on teaching users how to identify suspicious phishing sites based on imperfect imitation of legitimate services. The only reliable defence is to cryptographically bind a user's authenticator to the legitimate site they enrolled in. This is the technique that powers Okta FastPass, the passwordless method built into Okta Verify. When phishing resistance is enforced in policy, the authenticator will not allow the user to sign into any resource but the origin (domain) established during enrollment. Put simply, the user cannot be tricked into handing over their credentials to a phishing site. To address these risks, Okta Threat Intelligence has recommended several mitigation strategies. These include enforcing phishing-resistant authentication policies and prioritising the deactivation of less secure factors, restricting access to trusted devices, requiring secondary authentication if anomalous user behaviour is detected, and updating security awareness training to account for AI-driven threats. The research reflects the rapid operationalisation of machine learning tools in malicious campaigns, and highlights the need for continuous adaptation by organisations and their cybersecurity teams in response to evolving threats. Follow us on: Share on:
Techday NZ
13 hours ago
- Techday NZ
GenAI adoption surges in healthcare but security hurdles remain
Ninety-nine percent of healthcare organisations are now making use of generative artificial intelligence (GenAI), according to new global research from Nutanix, but almost all say they face challenges in data security and scaling these technologies to production. The findings are drawn from the seventh annual Healthcare Enterprise Cloud Index (ECI) report by Nutanix, which surveyed 1,500 IT and engineering decision-makers across multiple industries and regions, including the healthcare sector. The research highlights both rapid uptake of GenAI in healthcare settings and significant ongoing barriers around infrastructure and privacy. GenAI use widespread, but risks loom Among healthcare organisations surveyed, a striking 99% said they are currently leveraging GenAI applications or workloads, such as AI-powered chatbots, code co-pilots and tools for clinical development automation. This sector now leads all other industries in GenAI adoption, the report found. However, nearly as many respondents—96%—admitted their existing data security and governance were not robust enough to support GenAI at scale. Additionally, 99% say scaling from pilot or development to production remains a serious challenge, with integration into existing IT systems cited as the most significant barrier to wider deployment. "In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack," said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. "We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us." Patient data privacy and security concerns underpin much of this hesitation. The number one challenge flagged by healthcare leaders is the task of integrating GenAI with legacy IT infrastructure (79%), followed by the continued existence of data silos (65%) and ongoing obstacles in developing cloud-native applications and containers (59%). Infrastructure modernisation lags adoption The report stresses that while GenAI uptake is high, inadequate IT modernisation could impede progress. Scaling modern applications such as GenAI requires updated infrastructure solutions capable of handling complex data security, integrity, and resilience demands. Respondents overwhelmingly agree more must be done in this area. Key findings also indicate that improving foundational data security and governance will remain an ongoing priority. Ninety-six percent agree their organisations could still improve the security of their GenAI models and applications, while fears around using large language models (LLMs)—especially with sensitive healthcare data—are prevalent. Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix, described the recent surge in GenAI adoption as a departure from healthcare's traditional technology adoption timeline. "While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools. Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved." Nearly all healthcare respondents (99%) acknowledge difficulties in moving GenAI workloads to production, driven chiefly by the challenge of integrating with existing systems. This indicates that, despite wide experimentation and early deployments, many organisations remain cautious about full-scale rollouts. Containers and cloud-native trends In addition to GenAI, the survey found a rapid expansion in the use of application containerisation and Kubernetes deployments across healthcare. Ninety-nine percent of respondents said they are at least in the process of containerising applications, and 92% note distinct benefits from cloud-native application adoption, such as improved agility and security. Container-based infrastructure is viewed as crucial for enabling secure, seamless access to both patient and business data over hybrid and multicloud environments. As a result, many healthcare IT decision-makers are expected to prioritise modern deployment strategies involving containers for both new and existing workloads. Respondents continue to see GenAI as a path towards improved productivity, automation and efficiency, with major use cases involving customer support chatbots, experience solutions, and code generation tools. Yet, the sector remains grappling with the challenges of scale, security, and complexity inherent to these new technologies. The Nutanix study was conducted by Vanson Bourne in Autumn 2024 and included perspectives from across the Americas, EMEA and Asia-Pacific-Japan.
Scoop
13 hours ago
- Scoop
Healthcare's GenAI Gold Rush Is Here, But The Infrastructure Isn't Ready
Modernisation of legacy IT systems remains critical to meeting data security, privacy, and scalability demands for healthcare organisations Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the findings of its seventh annual global Healthcare Enterprise Cloud Index (ECI) survey and research report, which measures enterprise progress with cloud adoption in the industry. The research showed that 99% of healthcare organisations surveyed are currently leveraging GenAI applications or workloads today, more than any other industry. This includes a mix of applications from AI-powered chatbots to code co-pilots and clinical development automation. However, the overwhelming majority (96%) share that their current data security and governance measures are insufficient to fully support GenAI at scale. 'In healthcare, every decision we make has a direct impact on patient outcomes - including how we evolve our technology stack,' said Jon Edwards, Director IS Infrastructure Engineering at Legacy Health. 'We took a close look at how to integrate GenAI responsibly, and that meant investing in infrastructure that supports long-term innovation without compromising on data privacy or security. We're committed to modernising our systems to deliver better care, drive efficiency, and uphold the trust that patients place in us.' This year's report revealed that healthcare leaders are adopting GenAI at record rates while concerns remain. The number one issue flagged by healthcare leaders is the ability to integrate it with existing IT infrastructure (79%) followed closely by the fact that healthcare data silos still exist (65%), and development challenges with cloud native applications and containers (59%) are persistent. 'While healthcare has typically been slower to adopt new technologies, we've seen a significant uptick in the adoption of GenAI, much of this likely due to the ease of access to GenAI applications and tools,' said Scott Ragsdale, Senior Director, Sales - Healthcare & SLED at Nutanix. 'Even with such large adoption rates by organisations, there continue to be concerns given the importance of protecting healthcare data. Although all organisations surveyed are using GenAI in some capacity, we'll likely see more widespread adoption within those organisations as concerns around privacy and security are resolved.' Healthcare survey respondents were asked about GenAI adoptions and trends, Kubernetes and containers, how they're running business and mission critical applications today, and where they plan to run them in the future. Key findings from this year's report include: GenAI solution adoption and deployment across healthcare will necessitate a more comprehensive approach to data security. Healthcare respondents indicate a significant amount of work needs to be done to improve the foundational levels of data security/governance required to support GenAI solution implementation and success. The No. 1 challenge faced by healthcare organisations when it comes to leveraging or expanding utilisation of GenAI is privacy and security concerns of using large language models (LLMs) with sensitive company data. Furthermore, 96% of healthcare respondents agree that their organisation could be doing more to secure their GenAI models and applications. Improving data security and governance at the scale needed to support emerging GenAI workloads will be a long-term challenge and priority for many healthcare organisations. Prioritise infrastructure modernisation to support GenAI at scale across healthcare organisations. Running modern applications at enterprise scale requires infrastructure solutions that can support the necessary requirements for complex data security, data integrity and resilience. Unfortunately, 99% of healthcare respondents admit they face challenges when scaling GenAI workloads from development to production – with the No. 1 issue being integration with existing IT infrastructure. For this reason, we believe it is imperative that healthcare IT decision-makers prioritise infrastructure investments and modernisation as a key enabling component of GenAI initiatives. GenAI solution adoption in the healthcare sector continues at a rapid pace, but there are still challenges to overcome. When it comes to GenAI adoption, healthcare metrics are excellent, with 99% of industry respondents saying their organisation is leveraging GenAI applications/workloads today. Most healthcare organisations believe GenAI solutions will help improve levels of productivity, automation, and efficiency. Meanwhile, real-world GenAI use cases across healthcare segments gravitate towards GenAI-based customer support and experience solutions (e.g., chatbots), and code generation and code co-pilots. However, healthcare organisations also note a range of challenges and potential hindrances regarding GenAI solution development and deployment, including patient data security and privacy, scalability, and complexity. Application containerisation and Kubernetes® deployments are expanding across the healthcare industry. Container-based infrastructure and application development has the potential to allow organisations to deliver seamless, secure access to patient and business data across hybrid and multicloud environments. Application containerisation is pervasive across industry sectors and is set to expand in adoption across healthcare as well, with 99% of industry respondents saying their organisation is at least in the process of containerising trend may be driven by the fact that 92% of healthcare respondents agree their organisation benefits from adopting cloud native applications/containers. These findings suggest that the majority of IT decision-makers in healthcare will be considering how containerisation fits into expansion strategies for new and existing workloads. For the seventh consecutive year, Nutanix commissioned a global research study to learn about the state of global enterprise cloud deployments, application containerisation trends, and GenAI application adoption. In the Fall of 2024, U.K. researcher Vanson Bourne surveyed 1,500 IT and DevOps/Platform Engineering decision-makers around the world. The respondent base spanned multiple industries, business sizes, and geographies, including North and South America; Europe, the Middle East and Africa (EMEA); and Asia-Pacific-Japan (APJ) region. To learn more about the report and findings, please download the full Healthcare Nutanix Enterprise Cloud Index, here and read the blog here. About Nutanix Nutanix is a global leader in cloud software, offering organizations a single platform for running applications and managing data, anywhere. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at or follow us on social media @nutanix.
