Top NetApp BlueXP Alternatives

Leveraging AI-driven classification can significantly improve your cross-channel Data Loss Prevention (DLP) efforts. The Proofpoint Intelligent Classification & Protection system employs artificial intelligence to effectively categorize your essential business information, thereby streamlining your organization's DLP initiatives by suggesting actions based on identified risks. Our solution for Intelligent Classification and Protection allows you to gain insights into unstructured data more efficiently than conventional methods. It utilizes a pre-trained AI model to classify files in both cloud and on-premises storage systems. Furthermore, our dual-layer classification approach provides critical business context and confidentiality levels, enabling you to safeguard your data more effectively in the increasingly hybrid landscape. This innovative method not only enhances security but also promotes better compliance within your organization.

Microsoft Purview acts as an all-encompassing platform for data governance, enabling efficient management and supervision of data across various environments, including on-premises, multicloud, and software-as-a-service (SaaS). Its features encompass automated data discovery, classification of sensitive data, and comprehensive tracking of data lineage, allowing for the creation of a detailed and up-to-date portrayal of the data ecosystem. This functionality empowers users to quickly and easily access trustworthy and meaningful data. The platform also automates the identification of data lineage and classification from multiple sources, providing a unified view of data assets and their relationships, which is crucial for improved governance. Users can utilize semantic search to uncover data using both business and technical terms, gaining insights into the pathways and storage of sensitive information within a hybrid data landscape. By employing the Purview Data Map, organizations can establish a solid foundation for effective data governance and utilization while automating and managing metadata from various origins. Furthermore, it offers the capability to classify data using both established and custom classifiers, in addition to Microsoft Information Protection sensitivity labels, ensuring a flexible and robust data governance framework. This array of features not only enhances oversight but also streamlines compliance processes, making Microsoft Purview an indispensable resource for organizations aiming to refine their data management approaches. Ultimately, its comprehensive nature makes it a critical asset in navigating the complexities of modern data governance.

Dasera is a solution for Data Security Posture Management (DSPM) that delivers extensive security and governance for both structured and unstructured data in cloud and on-premises settings. It differentiates itself by monitoring data in real time, thereby providing ongoing visibility and automated solutions to avert data breaches throughout every stage of the data lifecycle. Dasera also supports ongoing risk detection and management, ensuring smooth integration and adherence to regulatory requirements. By possessing a thorough understanding of data infrastructure, user attributes, and usage patterns, Dasera empowers organizations to adopt a secure, data-centric growth approach, effectively reducing risks while enhancing value in today's digital landscape. Furthermore, its proactive measures help organizations stay ahead of potential threats, fostering a more resilient data environment.

Uncover the definitive answer for recognizing, monitoring, and safeguarding sensitive data on a grand scale. This all-encompassing data protection platform is meticulously crafted to quickly address risks, detect anomalies in activity, and maintain compliance, all while ensuring your operations run smoothly. By merging a powerful platform with a committed team and a strategic framework, it provides you with a significant advantage in the marketplace. The platform incorporates classification, access governance, and behavioral analytics to effectively protect your information, counteract threats, and streamline compliance requirements. Our proven approach is informed by numerous successful implementations that assist you in overseeing, securing, and managing your data with ease. A dedicated group of security experts constantly refines advanced threat models, updates policies, and aids in incident response, allowing you to focus on your primary goals while they navigate the intricacies of data security. This joint effort not only strengthens your overall security stance but also nurtures an environment of proactive risk management, ultimately leading to enhanced organizational resilience. Additionally, as the landscape of data threats evolves, our platform adapts to ensure continuous protection and peace of mind.

Our platform empowers businesses to harness data for advanced analytics, machine learning, and AI, all while ensuring that customers, employees, and intellectual property remain secure. The Protegrity Data Protection Platform goes beyond mere data protection; it also identifies and classifies data while safeguarding it. To effectively protect data, one must first be aware of its existence. The platform initiates this process by categorizing data, enabling users to classify the types most frequently found in the public domain. After these classifications are set, machine learning algorithms come into play to locate the relevant data types. By integrating classification and discovery, the platform effectively pinpoints the data that requires protection. It secures data across various operational systems critical to business functions and offers privacy solutions such as tokenization, encryption, and other privacy-enhancing methods. Furthermore, the platform ensures ongoing compliance with regulations, making it an invaluable asset for organizations aiming to maintain data integrity and security.

Blindata offers a robust program for Data Governance that encompasses a wide range of functions. Its components, including Data Catalog, Data Lineage, and Business Glossary, collectively provide a thorough and cohesive perspective on your data assets. Through Data Classification, data is endowed with semantic significance, while the inclusion of Data Quality Modules, Issue Management, and Data Stewardship functions enhances the dependability and trustworthiness of the data. Additionally, compliance with privacy regulations is supported by features such as a registry of processing activities, centralized management of privacy notices, and a consent registry that incorporates Blockchain technology. The Blindata Agent can seamlessly connect to various data sources to gather metadata, which includes details like data structures, quality metrics, and reverse lineage analysis. With a modular architecture entirely based on APIs, Blindata ensures systematic integration with critical business systems, which may include DBMS, Active Directory, e-commerce platforms, and data infrastructures. Furthermore, Blindata is available for purchase either as a Software as a Service (SaaS) or as an on-premise installation, and it can also be acquired through the AWS Marketplace, making it a versatile option for businesses of all sizes. This flexibility allows organizations to choose the deployment method that best fits their operational needs and technological landscape.

The Data Identification Manager™ streamlines the process of data classification by employing consistent technology, rules, and continuous oversight throughout the organization. By doing so, it effectively safeguards your entire IT infrastructure against the risks associated with untrustworthy and unnecessary data. Moreover, this comprehensive approach enhances overall data governance and operational efficiency.

OpenText AI Operations Management, formerly known as Operations Bridge, is a powerful enterprise solution that leverages full-stack AIOps to transform IT operations management across hybrid, multicloud, and on-premises infrastructures. The platform automates the discovery of services and their dependencies, providing continuous monitoring and real-time event correlation across all layers of the IT environment to restore complete observability. By consolidating data from diverse toolsets, it enables IT teams to detect service slowdowns quickly and gain actionable insights to resolve issues faster. Organizations can choose between SaaS or on-premises deployment models, allowing for a tailored approach that balances the need for speed, flexibility, and full control. Advanced AI-driven analytics automatically group related events, significantly reducing alert noise and accelerating root cause analysis, which improves mean time to repair (MTTR). Embedded automation streamlines remediation with thousands of pre-configured operations, minimizing manual workload and human error. The solution also provides rich service performance insights, helping organizations identify and address resource constraints whether on cloud, on-premises, or across XaaS platforms. OpenText AI Operations Management integrates smoothly with existing IT toolchains and processes, enhancing operational intelligence and decision-making. Professional services and premium support ensure successful deployment and ongoing optimization. Overall, the platform empowers enterprises to work smarter, improve IT reliability, and accelerate digital transformation initiatives.

Arovy is the ultimate Salesforce data governance and operational risk platform, delivering end-to-end visibility, compliance, and control for enterprise Salesforce environments. With its intelligent data dictionary, impact analysis, and dependency mapping, Arovy empowers teams to understand relationships between data, metadata, and processes—eliminating guesswork and enabling smarter decision-making. It continuously monitors API uptime, integrations, and user activity to detect potential threats or system outages before they disrupt operations. Through enhanced audit trails and change tracking, organizations can reverse-engineer issues, pinpoint sources of data modification, and maintain compliance with evolving regulatory standards. Arovy’s AI-driven insights help identify and eliminate technical debt, improving overall system health and reducing long-term maintenance costs. The platform’s threat detection and risk mitigation module provides visual intelligence and recommended actions, strengthening proactive governance across teams. Designed to support Agentforce and AI-era Salesforce deployments, Arovy ensures data integrity and security while optimizing automation frameworks. Its scalability supports thousands of Salesforce users and millions of monitored API calls without compromising performance. Backed by a foundation of trust, transparency, and advanced automation, Arovy enables businesses to govern data smarter and mitigate risk faster. With its modern, user-friendly interface and enterprise-grade reliability, Arovy stands as the ultimate control center for Salesforce-driven organizations worldwide.

Adaptive is a highly advanced data security solution designed to protect sensitive information from potential exposure by both humans and automated systems. It features a secure control plane that facilitates data protection and access without the need for complex network reconfiguration, functioning seamlessly in both cloud and on-premises environments. This innovative platform enables organizations to provide privileged access to data resources without requiring the sharing of actual credentials, significantly enhancing their overall security posture. Additionally, it supports just-in-time access to a diverse range of data sources, including databases, cloud infrastructure, data warehouses, and web services, ensuring that users can efficiently retrieve necessary information. Furthermore, Adaptive simplifies interactions involving non-human data by integrating third-party tools or ETL pipelines through a unified interface, which safeguards the confidentiality of data source credentials. To mitigate the risk of data exposure, the platform employs data masking and tokenization for users lacking privileged access, all while preserving existing access workflows. It also guarantees comprehensive auditing through identity-based audit trails that cover all resources, enabling organizations to effectively monitor and track access activities. By implementing these features, Adaptive not only fortifies data security but also enhances management capabilities within the increasingly complex landscape of digital ecosystems, ultimately fostering a more secure environment for data handling.

AIOps, which stands for Artificial Intelligence for IT Operations, is primarily defined by its creators, although numerous interpretations exist online. According to Gartner, Inc., AIOps platforms utilize vast amounts of data, cutting-edge machine learning, and sophisticated analytical tools to improve IT operations, including monitoring, automation, and service desk activities, by delivering proactive, personalized, and dynamic insights. These platforms enable the concurrent use of multiple data sources, various methods of data collection, and both real-time and comprehensive analytical technologies, which are crucial for effective data presentation. The core of AIOps is centered around the application of artificial intelligence to proactively manage IT environments, taking full advantage of the ongoing data flow within the IT ecosystem. By doing so, AIOps not only streamlines operations but also enhances an organization’s ability to respond swiftly to emerging challenges. Therefore, AIOps signifies a transformative advancement in how businesses can improve their operational effectiveness and agility in the face of evolving demands.

Discover the remarkable capabilities of Global IDs, which deliver a wide array of Enterprise Data Solutions encompassing data governance, compliance, cloud migration, rationalization, privacy, analytics, and much more. The Global IDs EDA Platform features crucial tools such as automated discovery and profiling, data classification, data lineage, and data quality, all designed to guarantee that data remains transparent, reliable, and easily understood across the entire ecosystem. Furthermore, the architecture of the Global IDs EDA platform is constructed for effortless integration, allowing users to access its extensive functionalities via APIs. This platform efficiently automates data management processes for organizations of all sizes and in various data environments. By leveraging Global IDs EDA, companies can not only improve their data management strategies but also foster enhanced decision-making capabilities, ultimately leading to more informed business outcomes. This holistic approach to data management positions businesses for success in an increasingly data-driven world.

The Databricks Data Intelligence Platform empowers every individual within your organization to effectively utilize data and artificial intelligence. Built on a lakehouse architecture, it creates a unified and transparent foundation for comprehensive data management and governance, further enhanced by a Data Intelligence Engine that identifies the unique attributes of your data. Organizations that thrive across various industries will be those that effectively harness the potential of data and AI. Spanning a wide range of functions from ETL processes to data warehousing and generative AI, Databricks simplifies and accelerates the achievement of your data and AI aspirations. By integrating generative AI with the synergistic benefits of a lakehouse, Databricks energizes a Data Intelligence Engine that understands the specific semantics of your data. This capability allows the platform to automatically optimize performance and manage infrastructure in a way that is customized to the requirements of your organization. Moreover, the Data Intelligence Engine is designed to recognize the unique terminology of your business, making the search and exploration of new data as easy as asking a question to a peer, thereby enhancing collaboration and efficiency. This progressive approach not only reshapes how organizations engage with their data but also cultivates a culture of informed decision-making and deeper insights, ultimately leading to sustained competitive advantages.

ONTAP is recognized as the premier software solution for managing enterprise data. To achieve a seamless hybrid cloud experience, it is essential to have a reliable platform as your foundation. The NetApp® ONTAP® software provides you with every possible edge, regardless of your location. It’s akin to winning the ultimate prize in data management. You can easily manage your data as it moves to and from the critical sites that you prioritize. We recognize that you are currently balancing numerous urgent tasks… Promote business growth. Adequately support your current applications. Get ready for future challenges. Additionally, you can accomplish all of this without stretching your IT budget. With ONTAP, you won’t need to compromise to achieve these goals. Quickly respond to new business requirements, enhance your everyday processes, and make a significant impact on your team. Does this resonate with you? No matter your data management needs—whether on-premises or in the cloud—ONTAP is prepared to address them and drive your success forward. Ultimately, the right tools can transform the way you manage data and propel your organization into the future.

An all-encompassing software solution connects complex production environments with your IT systems seamlessly. With extensive configuration capabilities, it facilitates rapid and effective deployments. By incorporating automated scaling, you can refine and unify the connectivity framework across diverse production sites. Your team can instantly access live industrial data from both IT and OT sources, enabling the swift, autonomous, and cost-effective execution of various use cases. Build a strong data infrastructure that guarantees a reliable and cohesive industrial connectivity framework. Effortlessly link all systems and applications, ensuring that shop floor assets deliver timely data insights. By effectively utilizing production data, you can accelerate your business initiatives and implement them without hesitation. This seamless integration not only boosts operational productivity but also empowers your team to make well-informed decisions with real-time data readily available. Furthermore, the ongoing adaptability of the system ensures that it evolves alongside your business needs, fostering continuous improvement and innovation.

MineOS is a user experience-centered data privacy solution that understands the challenges of compliance work historically faced by organizations. Our automated platform, which requires no coding, can be operational within a single day, providing businesses with extensive data mapping and classification capabilities that connect seamlessly with numerous widely-used data sources, uncovering almost all of a company's data assets. Enhancing the processes of data mapping and classification facilitates more efficient management of Data Subject Rights, risk evaluations, and enforcement of data policies. Streamline your compliance efforts while fostering trust with your consumers. Experience the difference with MineOS.ai.

AWS Storage Gateway serves as a hybrid cloud storage solution that enables on-premises users to access an almost infinite range of cloud storage options. Many clients leverage this tool to enhance storage management efficiency and reduce costs across multiple hybrid cloud environments. These environments include scenarios such as migrating tape backups to the cloud, reducing local storage needs by utilizing cloud file shares, and providing rapid access to AWS data for local applications, in addition to catering to various needs such as migration, archiving, processing, and disaster recovery. To support these capabilities, the service features three different types of gateways: Tape Gateway, File Gateway, and Volume Gateway, which ensure seamless integration between local applications and cloud storage while maintaining local data caching for quick access. Users can interact with the service through either a virtual machine or a dedicated hardware gateway appliance, employing standard storage protocols like NFS, SMB, and iSCSI. This adaptability allows organizations to fine-tune their storage solutions according to diverse requirements and enhance overall performance. Furthermore, the flexibility provided by AWS Storage Gateway empowers businesses to scale their storage solutions effectively as their needs evolve over time.

Begin your AIOps adventure and transform your IT operations with IBM Cloud Pak for Watson AIOps. This cutting-edge platform seamlessly incorporates advanced, explainable AI into the ITOps toolchain, empowering you to thoroughly assess, diagnose, and resolve incidents impacting vital workloads. For those accustomed to IBM Netcool Operations Insight or previous IBM IT management solutions, transitioning to IBM Cloud Pak for Watson AIOps marks an evolution in your current capabilities. It consolidates data from various critical sources to identify hidden anomalies, forecast potential problems, and accelerate resolutions. By addressing risks proactively and automating runbooks, workflows see a remarkable enhancement in efficiency. AIOps tools enable real-time correlation of both structured and unstructured data, allowing teams to maintain focus while obtaining valuable insights and recommendations that seamlessly integrate into current operations. Furthermore, the ability to establish policies at the microservice level facilitates effortless automation across diverse application components, significantly boosting overall operational efficiency. This holistic strategy guarantees that your IT operations are not merely reactive but also strategically anticipatory, paving the way for future advancements in your technological landscape. Embracing this innovative approach positions your organization to respond adeptly to the ever-evolving demands of the digital environment.

Data Loss Prevention (DLP) can be defined as a comprehensive system that systematically applies data security protocols while classifying information in real time, whether it's being transferred or stored. Data in motion encompasses information that is transmitted across the internet, to cloud services, devices, or printers. Our solution is driven by a technology leader who ensures robust protection. The DLP security engine is capable of identifying both structured and unstructured data at a binary level, safeguarding it across on-premises locations, remote sites, and cloud environments. Notably, GTB stands out as the only DLP tool that offers protection for data even when disconnected from the network. Through our technology, you can locate, categorize, index, redact, and remediate sensitive information, including personally identifiable information (PII), protected health information (PHI), and various regulatory data such as FERC/NERC and SOX. Our innovative, patent-pending technology is designed to prevent sensitive data from being uploaded to unauthorized or private cloud services, while also enabling users to track "sync files" effortlessly. This allows organizations to maintain compliance and enhance their overall data security posture.

BMC Helix Operations Management presents a robust, cloud-native platform designed for observability and AIOps, tailored to navigate the intricacies of hybrid-cloud environments. By implementing a service-oriented approach to observability data, the solution fosters effective AIOps. It consolidates third-party observability information—encompassing metrics, events, logs, incidents, changes, and topologies—into a cohesive IT data repository. Users can effectively monitor the health of services and achieve advanced root cause isolation thanks to dynamically generated business service models. The system improves the signal-to-noise ratio through AI-enhanced event suppression, de-duplication, and correlation methods that result in actionable insights. With AI probability assignments to causal nodes, rapid identification of root causes becomes feasible, leveraging both data and service models efficiently. The platform aids in proactive management through Business Service Health monitoring and AI-driven outage forecasts, helping to prevent potential complications. Furthermore, the troubleshooting process is expedited with enhanced log analytics and enrichment, leading to faster problem resolution. The solution also allows for seamless requests and implementations of automations from BMC and external tools, which further boosts operational productivity. This comprehensive offering not only enables organizations to sustain peak performance but also significantly reduces the likelihood of downtime and operational disruptions, ensuring that businesses can operate smoothly and efficiently.

Recognize each component within your organization—whether conventional or unique—across physical, virtual, and cloud settings. Consolidate and manage a wide array of data in a well-structured and uniform data lake. Uncover insights regarding the relationships among your infrastructure, applications, and business services. Use this comprehension to derive actionable intelligence. Ensure seamless integration and dissemination of information across diverse technologies and throughout your entire IT ecosystem in real-time. Establish multi-directional integrations that enable both reactive and proactive strategies at a cloud level. Keep a close watch on all elements within multi-cloud and distributed environments, applying relationship mapping to contextualize data, and harness this understanding for integration and automation purposes. No matter your current position on the path to AIOps, SL1 provides the necessary resources to progressively improve service visibility and automate IT workflows, ultimately illuminating the effects on business results. With these advanced capabilities, organizations are empowered to respond more quickly to evolving demands, fostering a culture of operational excellence and resilience. Additionally, this holistic approach can lead to more informed decision-making and strategic planning across various business units.

IBM Spectrum Virtualize™ and IBM Spectrum Virtualize™ for Public Cloud provide seamless data mirroring between on-premises and cloud data centers, as well as among various cloud environments. This functionality allows for the effortless transfer of information across local facilities and public cloud services, ensuring a cohesive method for data management that maintains consistency across both on-premises storage and cloud resources. By seamlessly integrating with current on-premises software, users can replicate or migrate data from an extensive list of over 500 compatible storage systems, thereby boosting hybrid cloud capabilities without additional substantial costs. The solution offers a flexible monthly payment structure, ensuring that you are charged only for the storage capacity you use in the public cloud. Moreover, it supports the implementation of robust disaster recovery strategies that extend across both on-premises and public cloud infrastructures. In addition, the solution promotes cloud-based DevOps by simplifying data replication from local sources, which streamlines both development and operational workflows. This comprehensive approach not only increases overall efficiency but also fosters innovation in data management methodologies while providing a scalable solution for growing business needs.

WEKA is a cutting-edge data platform designed to handle large-scale AI and HPC workloads across multiple environments, including cloud, on-premise, and hybrid clouds. Its ability to scale storage and compute independently allows users to manage millions or even billions of files without performance degradation. With integration capabilities for AI/ML workflows and accelerated data processing, WEKA is ideal for businesses and research labs needing fast, secure, and efficient access to data. The platform also focuses on sustainability by optimizing energy usage, making it a top choice for organizations looking to reduce their environmental footprint while maintaining high performance.

cPacket delivers performance insights for network-aware applications in distributed hybrid-IT settings while ensuring security. With our unified analytics platform, we leverage machine learning to enhance AIOps capabilities. This empowers you to oversee, safeguard, and prepare your network for future demands, facilitating your digital transformation journey. Our network visibility solution is both comprehensive and user-friendly, providing everything necessary to efficiently manage your hybrid network spanning branches, data centers, and cloud environments. Furthermore, cPacket's tools are designed to adapt to evolving technology landscapes, ensuring you remain competitive in an ever-changing digital world.

Autointelli Inc is a leader in AIOps, offering cutting-edge solutions aimed at enhancing modern IT operations through the seamless integration of automation and machine learning technologies. Our mission revolves around developing an AIOps platform that effectively streamlines data center automation, enabling users to reduce alert noise, identify root causes, and focus on more pressing IT tasks. By collaborating with us, you can significantly improve your digital workplace and operational efficiency. The Autointelli AIOps Platform not only accelerates event correlation but also ensures that complex incidents are quickly escalated to the right engineers for a swift resolution. In addition, this platform is equipped with a self-service automation feature that empowers users to create virtually limitless workflows customized to their specific requirements. Conducting a thorough root cause analysis is crucial for identifying the underlying challenges impacting both hardware and software. We also emphasize that powerful analytics should enhance business performance while delivering crucial insights from diverse data sources, keeping your organization competitive in a rapidly evolving market. Our unwavering dedication to innovation has the potential to revolutionize your IT operations management, ultimately leading to greater success and resilience in your organization’s technological landscape.

IBM Storage for Red Hat OpenShift offers a smooth integration of traditional and container storage, making it easy to implement scalable microservices architectures suitable for enterprises. This solution has been tested in conjunction with Red Hat OpenShift, Kubernetes, and IBM Cloud Pak, which guarantees an efficient deployment and management experience. It features advanced data protection, automated scheduling, and capabilities for data reuse that are specifically designed for environments using Red Hat OpenShift and Kubernetes. Users can quickly deploy the necessary resources thanks to its support for block, file, and object data types. Moreover, IBM Storage for Red Hat OpenShift establishes a solid and flexible hybrid cloud infrastructure on-premises, delivering essential storage orchestration and infrastructure. In addition, the platform enhances container efficiency in Kubernetes settings by incorporating Container Storage Interface (CSI) support for both block and file storage options. This all-encompassing strategy equips organizations with the tools to refine their storage methodologies, driving both efficiency and scalability to new heights. Organizations can thus confidently embrace innovation while managing their data more effectively.

IR:IS and AIOps are sophisticated AI-driven systems designed to enhance both processes and resource management. These integrated solutions facilitate seamless project planning, allocation of resources, financial integration, and oversight of project controls. In addition, they encompass functionalities for customer relationship management (CRM), human resource management (HRM), and the management of recurring tasks. Both platforms provide invoicing capabilities and comprehensive reporting tools for detailed insights. Their built-in authorization features allow for role customization, ensuring secure access and data protection. Notably, IR:IS is compatible with any platform, including mobile devices and tablets, and operates independently of web browsers. Moreover, IR:IS and AIOps promote financial optimization, the adoption of best practices, and effective performance tracking, all of which contribute to enhanced operational efficiency and increased employee productivity. With these tools, organizations can further streamline their workflows and achieve their strategic goals more effectively.

For modern digital-first enterprises, ensuring service quality is a crucial objective and has evolved into an essential element of their business applications. The increasing complexity of these applications, driven by advancements in 5G technology, edge computing, and containerized cloud-native systems, necessitates effective solutions. RDAF plays a vital role by integrating various data sources and identifying root causes through dynamic AI and machine learning pipelines. Subsequently, it employs intelligent automation to address issues efficiently. Companies that rely on data should carefully consider the evaluation, assessment, and implementation of RDAF to accelerate innovation, shorten the time to realize value, adhere to service level agreements, and enhance overall customer experiences, ultimately positioning themselves for success in a competitive landscape. By leveraging RDAF, organizations can not only improve their operational efficiency but also foster a culture of continuous improvement and responsiveness to market demands.

Designed specifically for a multicloud landscape, this solution provides extensive workload management while emphasizing operational durability. It promises data integrity, facilitates environmental oversight, and supports large-scale recovery efforts to fortify your resilience strategy. Among its essential features are migration, snapshot orchestration, and disaster recovery, all seamlessly integrated within a singular platform that enhances end-to-end deduplication. This all-inclusive solution claims the capacity to protect, restore, and migrate the highest number of virtual machines (VMs) to the cloud with ease. It automates protection for a variety of platforms, including VMware, Microsoft Hyper-V, Nutanix AHV, Red Hat Virtualization, AzureStack, and OpenStack, ensuring immediate access to VM data with adaptable recovery options. With its expansive disaster recovery capabilities, it achieves near-zero recovery point objectives (RPO) and recovery time objectives (RTO). Moreover, your data can be safeguarded across more than 60 public cloud storage options, utilizing an automated resilience framework driven by service-level agreements (SLAs), complemented by a new integration with NetBackup. This solution is adept at managing petabyte-scale workloads effectively through scale-out protection, featuring an architecture that accommodates hundreds of data nodes, enhanced by the sophisticated NetBackup Parallel Streaming technology. Furthermore, this innovative agentless method not only optimizes your data management tasks but also guarantees robust support across a wide array of environments, making it an invaluable asset for any organization. By implementing this solution, you can enhance your overall operational efficiency and contribute to a more resilient infrastructure.

MIND is an innovative data security platform that revolutionizes the approach to data loss prevention (DLP) and insider risk management (IRM) by automating processes that allow organizations to quickly identify, detect, and prevent data breaches at unprecedented speeds. This solution actively searches for sensitive data within various file types across multiple IT environments, effectively covering scenarios where data is stored, transmitted, or currently accessed. By identifying and addressing vulnerabilities in sensitive information across a wide array of IT ecosystems, including SaaS platforms, AI applications, endpoints, on-premises file systems, and email communications, MIND guarantees extensive protection. The platform consistently monitors and analyzes billions of data security incidents in real time, delivering enriched context surrounding each occurrence while autonomously executing necessary remediation actions. Additionally, MIND has the capability to instantly block sensitive data from being exposed or to collaborate with users to reduce risks, all while reinforcing organizational policies. Its ability to seamlessly integrate with various data sources within IT infrastructures allows MIND to uncover vulnerabilities in sensitive data, thereby strengthening the overall security framework. Not only does MIND safeguard critical information, but it also promotes a culture of compliance and heightened awareness among users, ultimately leading to a more secure organizational environment. This dual focus on protection and education ensures that users are not only shielded from risks but are also equipped to recognize and respond to potential threats.