
Cohesity marks sixth year as Gartner Leader for data protection
The company's merger with the enterprise data protection business of Veritas has established it as the only vendor to be recognised as a Leader in every one of Gartner's last 20 backup and data protection platform reports. This milestone covers numerous Gartner market assessments stretching back to 1999, with titles and criteria reflecting changes in the data protection sector over time.
Industry landscape
As organisations globally face the ongoing challenge of safeguarding and managing increasing volumes of data, the need for reliable and scalable data protection platforms continues to grow. Gartner's Magic Quadrant for Backup and Data Protection Platforms evaluates providers based on their completeness of vision and ability to execute, highlighting the complex and evolving nature of data security requirements.
The Magic Quadrant report takes into account several factors, including product capability, customer experience, and market responsiveness. With more than 200 zettabytes of the world's data said to require protection and cyber threats advancing in scale and sophistication, Gartner's analysis reflects a sector where customers seek robust, comprehensive solutions.
Gartner's ongoing evaluation of vendors is considered significant by buyers in the IT procurement process, where factors such as cyber resilience, support for hybrid environments, and the ability to draw actionable insights from data are high priorities for technology leaders.
Company leadership comment "Being recognised as a Leader in this report for six consecutive years underscores our innovation commitment to protecting the world's data -- while driving the future of AI-powered data security and insights," said Kit Beall, chief revenue officer, Cohesity. "Cohesity's success is driven by a unique ability to execute at scale with a comprehensive cyber resilience portfolio for complex on-premises, multicloud, and SaaS environments. These strengths underpin our mission to protect, secure, and provide insights into the world's data."
The company's approach integrates artificial intelligence to build on its traditional data security portfolio, with coverage for on-premises, multicloud, and software-as-a-service (SaaS) environments. Cohesity's focus also includes providing insights drawn from enterprise data, responding to growing demands for analytics and intelligence that go beyond basic backup and recovery.
Customer recognition
Cohesity has also been recognised as a Customers' Choice for the seventh consecutive time in the 2025 Gartner Peer Insights Voice of the Customer report, which is based on customer experience, user interest, and adoption.
The Peer Insights Voice of the Customer report collects feedback from end users to gauge levels of satisfaction with various technology solutions. This consistent recognition suggests a positive reception among enterprise clients, spanning sectors and organisational sizes.
Market position
Formed following the combination with Veritas' enterprise data protection business, Cohesity states its offerings are aimed at strengthening resilience while enabling AI-driven insights across significant volumes of enterprise data. The company's customer base includes more than 13,600 enterprise organisations, among them over 85 of the Fortune 100 and nearly 70% of the Global 500.
Cohesity's portfolio is designed to support organisations in securing and managing data on-premises, in the cloud, and at the edge. The company also notes ongoing backing from technology partners across the sector, including NVIDIA, IBM, HPE, Cisco, AWS, and Google Cloud.
Gartner research publications offer opinions of the research organisation and do not constitute formal endorsements of any vendor, product, or service. Gartner states it does not advise technology users to select only those vendors with the highest ratings or other designations, and cautions that its reports should not be construed as statements of fact.
Gartner Peer Insights content is based on user experiences and individual opinions, not on factual statements or Gartner's views. Gartner does not endorse any vendor, product, or service referenced in Peer Insights and provides no warranty as to the accuracy or completeness of the content.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Techday NZ
3 hours ago
- Techday NZ
Infoblox upgrades DNS defence to counter AI-driven cyberattacks
Infoblox has introduced enhancements to its Protective DNS solution aimed at countering increasingly sophisticated, AI-driven cyberthreats for organisations across a range of sectors. With a global rise in cyberattacks and new tactics from adversaries leveraging artificial intelligence (AI) to target vulnerabilities, Infoblox's improvements focus on providing protection before threats can cause disruption or damage to users, devices, Internet of Things (IoT)/Operational Technology (OT), and cloud environments. Pre-emptive defence The recent upgrades to Infoblox Threat Defence utilise predictive threat intelligence combined with algorithmic and machine learning-based detection capabilities. This preventative approach is designed to stop high-risk and malicious domains on average 68 days earlier than traditional security tools, while maintaining a reported false positive rate of 0.0002 per cent. "The difference between most DNS security tools and our approach is like the difference between law enforcement chasing street-level drug dealers versus taking down the cartel," said Mukesh Gupta, Chief Product Officer at Infoblox. "We target the suppliers behind the cyberattackers - the cartel - so threats can be blocked before they ever reach the network. This preemptive strategy helps security teams reduce risk, eliminate noise and stop threats at the DNS layer before they ever reach the network." The advancements are designed to provide tighter security through features such as more comprehensive visibility, actionable insights, flexible token-based licensing models, and improved reporting on threats stopped prior to causing impact. Infoblox reports that these tools provide clear, quantifiable metrics that may assist security teams in demonstrating return on investment by highlighting threats intercepted before reaching critical systems. Cloud integration and proactive threat blocking In addition to protecting traditional networks, Infoblox's Protective DNS technology is set to power Google Cloud's DNS Armour, a move that will bring native security to cloud workloads. The public preview of Google Cloud's DNS Armour, supported by Infoblox, is expected later this year. By blocking attacks earlier in the cyber kill chain, the company suggests it can reduce reliance on downstream detection and response systems, such as XDR (Extended Detection and Response) and SIEM (Security Information and Event Management). This shift aligns with recommendations from analysts such as Gartner and guidelines like the NIST SP 800-81, which highlight the value of DNS-layer defences in preventing incidents at an earlier stage. Industry response and regional focus Scott Harrell, President and CEO of Infoblox, commented on shifts in the cyber threat landscape, stating, "Traditional 'detect and respond' security simply can't keep pace with today's AI-driven attackers and malware. Cybercrime is evolving faster than ever, costing the world trillions and exploiting gaps in legacy defences. The legacy kill chain approach depends on someone else being 'patient zero' so those legacy systems can learn and react - but attackers today customise malware to target individual businesses or industries, rendering legacy, reactive approaches ineffective against modern AI-enabled attackers. When you're patient zero, the only thing being 'killed' is your business. The future of cybersecurity must be preemptive: stop threats before they ever reach your organisation." Paul Wilcox, Vice President of Regional Sales, APJ, drew attention to regional trends, saying, "Across APAC, cyberattacks are growing more aggressive and calculated. From exploiting third-party access points to targeting critical systems - attackers are finding the cracks in our digital foundations and are using AI to strike faster and smarter than ever." He continued, "For businesses in Singapore, where digital services are tightly woven into daily life, any downtime or confidentiality breach can be deeply disruptive. That's why organisations here need to invest in earlier threat detection that starts at the DNS layer. Stopping an attack before it begins is far less costly than dealing with the aftermath." Reporting and security operations enhancements The updated Infoblox solution introduces a centralised Security Workspace for deeper visibility, and a Detection Mode that highlights missed threats without necessitating changes to existing DNS configurations, aiming to minimise operational risk for organisations. The Asset Data Integration feature offers additional context for analysts conducting further investigations. Flexible token-based licensing aligns pricing with usage, simplifying procurement and potentially offering clearer value for cost-conscious enterprises. The enhancements come as analysts predict global cybercrime costs could reach USD $23 trillion by 2027. The company's approach is designed to stop attacks before impact, rather than waiting for an initial breach to trigger a response, aiming to help organisations remain resilient against the evolving tactics of cyber adversaries.


Techday NZ
4 hours ago
- Techday NZ
Cloudera expands multi-cloud AI reach with Taikun acquisition
Cloudera has announced its acquisition of Taikun, a platform provider specialising in Kubernetes and cloud infrastructure management across hybrid and multi-cloud environments. The move expands Cloudera's ability to deliver its data and AI platform across public clouds, on-premise data centres, and sovereign or air-gapped environments through a single unified control plane. The integration brings a fully integrated compute layer to Cloudera's stack, aiming to streamline deployment and operations for enterprise IT teams. Industry context According to research from Gartner, organisations implementing multi-cloud architectures often experience difficulties in connecting to, and between, different cloud providers. The research suggests that more than 50% of such organisations are expected to fall short of their intended outcomes by 2029. Australian businesses and others operating in the region face ongoing challenges related to fragmented data and application management across increasingly diverse infrastructures. Cloudera's acquisition of Taikun is positioned as a means to address these issues by simplifying operations and supporting better governed business decisions. Strategic aims The acquisition is designed to accelerate the roll-out of Cloudera's complete platform, including Data Services and support for AI, to any environment where enterprise data resides. Taikun's technology offers a container-native approach to managing data and workloads, supporting highly regulated environments such as GovCloud, Sovereign Cloud, and air-gapped data centres. Customers using the integrated Cloudera and Taikun platform will be able to deploy data and AI workloads across a variety of settings - data centres, cloud, or hybrid environments - without impacting performance or limiting their choice of deployment. The combined platform aims to provide a consistent cloud-like experience, even in complex and regulated circumstances. Operational benefits Key advantages outlined include the ability to conduct zero-downtime upgrades and optimised resource allocation, which are expected to boost operational efficiency and lower the total cost of ownership. Customers can also adopt a flexible approach to integrating a wide range of tools and databases, including those from Cloudera partners and third-party providers. The underlying architecture is intended to preserve long-term flexibility for enterprise customers, enabling future readiness as business requirements evolve. Leadership perspectives "This acquisition marks a pivotal step in our mission to bring the cloud experience wherever enterprise data resides," Charles Sansbury, Chief Executive Officer of Cloudera, said. "By integrating Taikun's container-native platform in our stack, we are removing operational barriers and enabling our customers to unlock faster insights, make smarter decisions, and drive real-time action in every corner of their business." As part of the acquisition, Taikun's engineering team will become part of Cloudera's wider engineering, product, and support organisation. Cloudera will also establish a new European development hub in the Czech Republic, reflecting Taikun's headquarters and further reinforcing Cloudera's commitment to the region. Adam Skotnicky, former Chief Executive Officer of Taikun, commented: "Our acquisition by Cloudera marks a pivotal moment for us. Our advanced cloud-native computing platform will enable customers from across the globe to deliver and deploy services and applications seamlessly, whether that's in the data centre or in multi-cloud environments. Only Cloudera is the right organisation for us to join during this critical moment for data and AI." Analyst view Sanjeev Mohan, Principal at SanjMo, addressed the broader industry implications, stating: "Organisations are suffering more than ever from fragmented data and application management across diverse infrastructures, increasing complexity, costs, and limiting data/AI initiatives." The result: compromise on workload placement and data analysis. With Cloudera's acquisition of Taikun and integration in Cloudera's platform, organisations can now run AI and analytics anywhere their data lives - from cloud to edge - accelerating insights, empowering smarter choices, and driving real-time responses throughout their organisation." Recent acquisitions This acquisition marks Cloudera's third strategic purchase within the past 14 months, following earlier acquisitions of an operational AI platform from Verta in May 2024 and Octopai's data lineage and catalogue solution in November 2024. According to the company, these acquisitions are intended to strengthen its platform and provide customers with increased flexibility on where and how they run data and AI workloads.


Techday NZ
a day ago
- Techday NZ
How intelligent observability and FinOps fuel cloud cost optimisation
As costs to run cloud services continue to escalate amid a push to modernise and adopt AI-driven workloads, organisations need to prioritise getting on top of the expenses as a key priority. Gartner expects Australian organisations to spend nearly A$26.6 billion on public cloud services in 2025, an increase of 18.9% from 2024. With 90% of Australian organisations using multiple public clouds, businesses must navigate the complexities of managing diverse cloud platforms, security frameworks, and billing models. Organisations shifting their focus to measure outcomes of engineering decisions must enhance cloud cost forecasting, make informed investment decisions based on data and align cloud spending with strategic business objectives. Gain insight into cloud spend Getting visibility into cloud costs is key to establishing effective cost controls. Setting up a FinOps practice allows organisations to optimise the business benefits of cloud by fostering financial accountability and collaboration. Intelligent observability platforms empower FinOps teams to collect, analyse, and act on cloud cost data in real time. Built around FinOps best practices, these platforms promote collaboration across teams, enhance cost visibility, and drive financial accountability, all of which promote strategic cloud investment decisions. Organisations that adopt intelligent observability effectively shift from reactive cost-cutting to proactive optimisation, enabling accurate forecasting and efficient cloud spending. AI-driven FinOps The future of FinOps will be heavily influenced by advancements in AI and intelligent automation. Integrated platforms will increasingly optimise cloud resource allocation by adapting in real time to shifting usage patterns and evolving business demands. AI will enhance forecasting and decision-making through predictive analytics and conversational interfaces, uncovering more accurate cost projections and savings opportunities. Powered by AI, FinOps will give engineering teams the clarity to weigh the value of services against their cost, leading to smarter decisions around tooling, optimisation, and consolidation. Ultimately, intelligence-led cloud cost management paves the way for balancing performance with spend, enabling tighter financial control over cloud infrastructure without sacrificing efficiency. As cloud cost environments become increasingly complex to manage, real-time data and intelligence are a game-changer for technical and FinOps teams to optimise resources, reduce unnecessary spend, and maintain strong performance. Paired with continuous monitoring and fine-tuning, intelligent observability not only improves application performance and reliability but also leads to streamlined and cost-effective cloud infrastructure. Improve visibility to get ahead of costs Many organisations struggle with real-time visibility into their cloud usage. Distributed teams often work in isolation, provisioning resources as needed without a shared understanding of the financial impact. The constantly shifting nature of the cloud makes it even more challenging to control sprawl, pinpoint cost drivers, and spot anomalies. The lack of visibility across IT ecosystems and data pipelines leads to overspending or spending in the wrong areas, waste, and a lack of predictability in future costs. Without observability, cloud spending decisions are reactive, with the organisation exceeding its budget, receiving a bill, and then scrambling to find quick wins to reduce cloud spend. To help identify inefficiencies and drive down cloud spend, companies should empower engineers to identify and address performance issues earlier in the process by using modern, AI-strengthened observability tools to estimate cost impacts of different services. By applying intelligent observability data from applications and infrastructure in production, organisations can take a more fine-grained approach to optimising spend while monitoring for performance impacts. It also enables organisations to effectively shift from reactive to proactive value-driven decision-making. While cost-cutting remains a priority, engineering teams often grapple with the challenge of maximising the value of delivered services. Observability addresses this by aligning service delivery KPIs, costs, and business value so teams maintain focus on optimising performance.