{"id":7008,"date":"2026-04-29T00:00:00","date_gmt":"2026-04-29T00:00:00","guid":{"rendered":"https:\/\/my-demo.xyz\/oadtechnologies\/data-discovery-and-classification-tools-a-strategic-enterprise-guide-for-2026\/"},"modified":"2026-04-29T04:08:32","modified_gmt":"2026-04-29T04:08:32","slug":"data-discovery-and-classification-tools-a-strategic-enterprise-guide-for-2026","status":"publish","type":"post","link":"https:\/\/my-demo.xyz\/oadtechnologies\/data-discovery-and-classification-tools-a-strategic-enterprise-guide-for-2026\/","title":{"rendered":"Data Discovery and Classification Tools: A Strategic Enterprise Guide for 2026"},"content":{"rendered":"<p>Recent 2024 industry surveys indicate that 63% of UAE IT leaders now find that unstructured shadow data exceeds their managed storage, creating a massive blind spot for regulatory compliance. You&#8217;ve likely realized that legacy systems aren&#8217;t keeping pace, often returning false-positive rates as high as 40% while failing to map assets to the UAE Personal Data Protection Law (PDPL). Relying on manual tagging is no longer a viable strategy for an enterprise aiming for digital transformation. To maintain your competitive edge, you need sophisticated data discovery and classification tools that offer more than just basic scanning.<\/p>\n<p>We understand that your goal is to transition from reactive firefighting to a state of continuous, automated visibility. This guide provides a roadmap to master the selection and implementation of these tools, ensuring your raw data becomes a secured and strategic asset rather than a liability. We&#8217;ll explore how to achieve audit-ready reporting and seamless integration with your existing DLP and SIEM stacks. By the end, you&#8217;ll have the framework to architect a bespoke data environment that&#8217;s both compliant and future-proof for 2026 and beyond.<\/p>\n<div class=\"key-takeaways\">\n<h2 id=\"key-takeaways\"><a name=\"key-takeaways\"><\/a>Key Takeaways<\/h2>\n<ul>\n<li>Learn why manual inventories are obsolete and how modern <strong>data discovery and classification tools<\/strong> provide the visibility required to scale securely across the UAE\u2019s complex cloud and legacy environments.<\/li>\n<li>Understand the 95% accuracy benchmark for enterprise-grade tools and the critical role of persistent metadata in maintaining data integrity throughout its entire lifecycle.<\/li>\n<li>Evaluate the strategic divergence between security-first and governance-first solutions to ensure your technology stack aligns with specific regulatory mandates and operational ROI.<\/li>\n<li>Master a bespoke selection framework that prioritizes native coverage and proven precision to transform raw data into a future-proofed strategic asset.<\/li>\n<li>Discover how unifying discovery with Data Loss Prevention (DLP) creates a sophisticated roadmap for effective policy enforcement and long-term digital resilience.<\/li>\n<\/ul>\n<\/div>\n<nav class=\"table-of-contents\" aria-label=\"Table of Contents\">\n<h2 id=\"table-of-contents\"><a name=\"table-of-contents\"><\/a>Table of Contents<\/h2>\n<ul>\n<li><a href=\"#what-are-data-discovery-and-classification-tools\">What are Data Discovery and Classification Tools?<\/a><\/li>\n<li><a href=\"#the-mechanics-of-modern-classification-accuracy-and-contextual-intelligence\">The Mechanics of Modern Classification: Accuracy and Contextual Intelligence<\/a><\/li>\n<li><a href=\"#evaluating-the-landscape-security-first-vs-governance-first-tools\">Evaluating the Landscape: Security-First vs. Governance-First Tools<\/a><\/li>\n<li><a href=\"#a-framework-for-selection-key-criteria-for-enterprise-grade-discovery\">A Framework for Selection: Key Criteria for Enterprise-Grade Discovery<\/a><\/li>\n<li><a href=\"#architectural-excellence-unifying-discovery-with-data-loss-prevention\">Architectural Excellence: Unifying Discovery with Data Loss Prevention<\/a><\/li>\n<\/ul>\n<\/nav>\n<h2 id=\"what-are-data-discovery-and-classification-tools\"><a name=\"what-are-data-discovery-and-classification-tools\"><\/a>What are Data Discovery and Classification Tools?<\/h2>\n<div>\n<p>Modern enterprises no longer manage data in neat, localized silos. As UAE organizations accelerate their digital transformation, the volume of unstructured data across multi-cloud environments has reached a tipping point. Discovery is the automated identification of PII, PHI, and PCI across hybrid environments. This process acts as the foundation for modern security, ensuring that no sensitive asset remains hidden in a forgotten bucket or a shadow database.<\/p>\n<p>The dual roles of these tools are distinct yet inseparable. Discovery finds the data; classification assigns it a status based on its sensitivity and value. <a href=\"https:\/\/en.wikipedia.org\/wiki\/Data_classification_(data_management)\" target=\"_blank\" rel=\"noopener\">Data classification<\/a> allows teams to apply labels such as &#8220;Confidential&#8221; or &#8220;Public,&#8221; which then dictate how that information is handled. Relying on manual data inventory is obsolete when organizations routinely manage upwards of 15 petabytes of cloud storage. Human effort cannot scale at this velocity without introducing catastrophic gaps in the security posture.<\/p>\n<p>These <strong>data discovery and classification tools<\/strong> serve as the essential intelligence layer for Data Loss Prevention (DLP) systems. A DLP solution is only as effective as the rules it follows. By providing precise, real-time metadata, discovery tools empower security engines to make informed decisions about what to encrypt, move, or delete. This strategic integration ensures that security policies are applied dynamically rather than through static, rigid rules that often hinder operational flow.<\/p>\n<\/div>\n<h3>The Evolution from Pattern Matching to AI<\/h3>\n<div>\n<p>Legacy systems relied heavily on Regular Expressions (RegEx) to find patterns like 16-digit numbers. This approach often triggered high false-positive rates, overwhelming security teams with noise. Modern <strong>data discovery and classification tools<\/strong> have transitioned to Natural Language Processing (NLP) and machine learning. These technologies identify intent and context, distinguishing between a random string of digits and an actual financial record. By 2026, the industry has shifted toward Data Security Posture Management (DSPM), where the focus is on the continuous monitoring of data security across the entire lifecycle, regardless of where the data resides.<\/p>\n<\/div>\n<h3>Why Visibility is the First Step in GRC<\/h3>\n<div>\n<p>Strategic alignment with <a href=\"https:\/\/www.oadtechnologies.com\/governance-risk-and-compliance-grc-the-2026-enterprise-strategy-guide\/\">governance risk and compliance<\/a> is impossible without total visibility. Automated labeling is the primary mechanism for satisfying the UAE Personal Data Protection Law (PDPL) and other international audit requirements. It provides a clear audit trail that proves to regulators that sensitive citizen data is being handled with the required care. Effective classification also facilitates data minimization. By identifying redundant, obsolete, or trivial (ROT) data, enterprises can safely delete what they don&#8217;t need. This practice significantly reduces the &#8220;blast radius&#8221; of a potential breach, as there&#8217;s less sensitive material available for attackers to exploit. OAD Technologies prioritizes this architectural clarity to ensure that compliance becomes a competitive advantage rather than a bureaucratic burden.<\/p>\n<\/div>\n<h2 id=\"the-mechanics-of-modern-classification-accuracy-and-contextual-intelligence\"><a name=\"the-mechanics-of-modern-classification-accuracy-and-contextual-intelligence\"><\/a>The Mechanics of Modern Classification: Accuracy and Contextual Intelligence<\/h2>\n<p>Modern <strong>data discovery and classification tools<\/strong> require a precision threshold of at least 95% to meet enterprise standards. This isn&#8217;t just a performance metric; it&#8217;s a necessity for compliance with UAE data protection laws like the DIFC Data Protection Law 2020. High accuracy prevents the alert fatigue that once paralyzed IT departments. When a tool achieves this benchmark, it allows security teams to trust automated workflows rather than manually verifying every flag.<\/p>\n<p>The distinction between persistent metadata tagging and visual watermarking is critical for a robust security architecture. While watermarks serve as a visual deterrent for human users, persistent metadata embeds the classification directly into the file&#8217;s properties. This ensures that security policies follow the data as it moves through cloud environments or local storage. It&#8217;s a foundational element of NIST Data Classification Practices, which emphasize the need for consistent labeling that persists regardless of the data&#8217;s location.<\/p>\n<p>Modern tools must handle both structured data in SQL databases and the 80% of enterprise data that remains unstructured in PDFs, emails, and chat logs. Identity-to-data correlation adds a layer of contextual intelligence to this process. It isn&#8217;t enough to know a file contains sensitive information. You must identify who created it, who currently owns it, and who has accessed it. This correlation transforms a simple list of files into a map of institutional risk.<\/p>\n<h3>AI-Based Data Sensitivity Tagging<\/h3>\n<p>AI models now reduce false positives by 40% compared to legacy systems that rely solely on regular expressions. This efficiency enables automated remediation, where the system moves mislocated sensitive files to secure zones without human intervention. Sophisticated algorithms can distinguish between real customer PII and developer test data, ensuring that security resources focus on actual threats. Organizations often find that <a href=\"https:\/\/www.oadtechnologies.com\">bespoke data strategies<\/a> are the most effective way to calibrate these AI models to their specific industry jargon and internal workflows.<\/p>\n<h3>Continuous vs. Point-in-Time Scanning<\/h3>\n<p>Snapshot discovery is a relic of the past that leaves organizations vulnerable. In dynamic cloud environments, a point-in-time scan is obsolete the moment it finishes. Modern strategies utilize event-driven scanning, which triggers a re-classification every time a file is created, modified, or shared. This approach balances system performance with real-time security. It ensures that latency doesn&#8217;t hinder operational efficiency while maintaining a constant watch over the digital perimeter. By moving away from scheduled weekly scans, businesses reduce the window of exposure for newly created sensitive assets.<\/p>\n<p><!-- autoseo-infographic --><\/p>\n<div class=\"autoseo-infographic-container\"><img decoding=\"async\" width=\"1084\" height=\"2560\" src=\"https:\/\/my-demo.xyz\/oadtechnologies\/wp-content\/uploads\/2026\/04\/Data-Discovery-and-Classification-Tools-A-Strategic-Enterprise-Guide-for-2026-Infographic-scaled.jpg\" class=\"autoseo-infographic-image\" alt=\"Data Discovery and Classification Tools: A Strategic Enterprise Guide for 2026\" loading=\"lazy\" \/><\/div>\n<p><!-- \/autoseo-infographic --><\/p>\n<h2 id=\"evaluating-the-landscape-security-first-vs-governance-first-tools\"><a name=\"evaluating-the-landscape-security-first-vs-governance-first-tools\"><\/a>Evaluating the Landscape: Security-First vs. Governance-First Tools<\/h2>\n<p>Organizations often view data discovery as a singular task. It isn&#8217;t. You will find a sharp divide between security-centric and governance-centric architectures in the current market. Security-first tools prioritize active defense. They integrate directly with <a href=\"https:\/\/www.oadtechnologies.com\/data-loss-prevention-dlp-a-strategic-framework-for-enterprise-resilience-in-2026\/\">data loss prevention<\/a> (DLP) frameworks to block unauthorized transfers in real-time. These tools excel at identifying &#8220;hot&#8221; data that poses an immediate risk to the perimeter.<\/p>\n<p>Governance-first tools serve a different master. They focus on data stewardship, metadata enrichment, and long-term analytics. These platforms help teams build comprehensive data catalogs and ensure compliance with archival policies. This distinction is vital. According to 2024 industry benchmarks, 42% of enterprises report &#8220;tool fatigue&#8221; when security and governance functions overlap without clear boundaries. For a deeper look at the underlying logic, this <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC8274472\/\" target=\"_blank\" rel=\"noopener\">academic overview of data classification<\/a> explains the algorithmic foundations used to categorize vast datasets effectively.<\/p>\n<p>Misalignment creates operational friction. If you deploy a governance tool for a security use case, your response times will lag. Security tools often lack the granular metadata required for complex business intelligence. In the UAE, where multi-cloud adoption reached 84% in late 2023, parity across AWS, Azure, and Google Cloud Platform is non-negotiable. Your <strong>data discovery and classification tools<\/strong> must offer identical feature sets across all regions to avoid visibility gaps that lead to regulatory fines.<\/p>\n<h3>Integration with the Security Stack<\/h3>\n<p>Effective discovery feeds high-fidelity insights into your <a href=\"https:\/\/www.oadtechnologies.com\/siem-the-strategic-guide-to-security-information-and-event-management-in-2026\/\">SIEM<\/a>. This context transforms a generic &#8220;file accessed&#8221; alert into a high-priority incident involving sensitive PII. It also refines <a href=\"https:\/\/www.oadtechnologies.com\/identity-and-access-management-iam-a-strategic-framework-for-2026\/\">identity and access management (IAM)<\/a> by highlighting overprivileged users who haven&#8217;t touched sensitive data in 90 days. When combined with EDR, discovery ensures endpoint protection remains data-aware, not just process-aware.<\/p>\n<h3>Deployment Models and Data Residency<\/h3>\n<p>The UAE Federal Decree-Law No. 45 of 2021 mandates strict data residency. For sectors like banking or healthcare, SaaS-based <strong>data discovery and classification tools<\/strong> might introduce compliance risks if the scanning engine transmits metadata outside the Emirates. On-premises collectors offer a sovereign-first alternative. We advocate for the Expert Architect approach: a hybrid model providing unified visibility across local servers and global cloud instances while keeping the control plane within local borders.<\/p>\n<h2 id=\"a-framework-for-selection-key-criteria-for-enterprise-grade-discovery\"><a name=\"a-framework-for-selection-key-criteria-for-enterprise-grade-discovery\"><\/a>A Framework for Selection: Key Criteria for Enterprise-Grade Discovery<\/h2>\n<p>Selecting <strong>data discovery and classification tools<\/strong> in 2026 requires a shift from passive scanning to active governance. UAE enterprises must evaluate vendors based on four non-negotiable pillars. First, coverage must span the hybrid reality of the Emirates; this means native support for legacy SAP instances alongside localized cloud regions like Azure UAE North and AWS Middle East (UAE). Second, look for a proven precision rate of at least 98% after the initial 30-day tuning period. Accuracy is the difference between a secure environment and a SOC team overwhelmed by false positives.<\/p>\n<p>Third, automation must be bidirectional. The tool shouldn&#8217;t just label data; it needs to trigger immediate remediation workflows without human intervention. For instance, if a user moves a file containing UAE National IDs to an unencrypted public folder, the system should automatically revoke access and encrypt the file. Finally, compliance mapping is critical. Ensure the platform provides pre-built templates for the UAE Personal Data Protection Law (PDPL). This ensures your classification logic aligns with Federal Decree-Law No. 45 of 2021, saving months of manual policy mapping and legal review.<\/p>\n<h3>The Role of Managed Services<\/h3>\n<p>The &#8220;set it and forget it&#8221; approach to data classification consistently fails because business logic evolves faster than static rules. Effective <a href=\"https:\/\/www.oadtechnologies.com\/managed-detection-and-response-mdr-the-2026-strategic-guide-to-enterprise-resilience\/\">managed detection and response (MDR)<\/a> teams utilize discovery data to identify high-risk targets before an incident occurs. These experts build bespoke policies that distinguish between a generic internal document and a highly sensitive trade secret. This human-led refinement ensures your security posture remains aggressive yet accurate, adapting to new data types as your business grows.<\/p>\n<h3>Future-Proofing for Generative AI<\/h3>\n<p>By 2026, AI-ready data governance is a baseline requirement. You must identify and sanitize sensitive data before it reaches Large Language Model (LLM) training sets. Without strict <strong>data discovery and classification tools<\/strong>, applications like Microsoft 365 Copilot could inadvertently expose executive salaries or procurement strategies to unauthorized staff. Your discovery tool must provide visibility into how GenAI interacts with corporate data, ensuring that your push for innovation doesn&#8217;t create a backdoor for data leakage.<\/p>\n<div>\n<p>Secure your enterprise\u2019s future by partnering with OAD Technologies to deploy <a href=\"https:\/\/www.oadtechnologies.com\">tailored data governance solutions<\/a> today.<\/p>\n<\/div>\n<h2 id=\"architectural-excellence-unifying-discovery-with-data-loss-prevention\"><a name=\"architectural-excellence-unifying-discovery-with-data-loss-prevention\"><\/a>Architectural Excellence: Unifying Discovery with Data Loss Prevention<\/h2>\n<p>Data Loss Prevention (DLP) systems often fail because they lack the necessary context to make intelligent enforcement decisions. If your security stack can&#8217;t distinguish between a public press release and a confidential UAE government contract, it&#8217;s essentially flying blind. Effective <strong>data discovery and classification tools<\/strong> serve as the fuel for these systems. They provide the granular metadata required to trigger the right protections at the right time. At OAD Technologies, we don&#8217;t just deploy software; we engineer a bespoke data protection roadmap that aligns with your specific operational reality.<\/p>\n<p>True resilience requires moving from reactive visibility to proactive threat mitigation. Modern <strong>data discovery and classification tools<\/strong> do more than just label files; they create a dynamic map of your intellectual property. Our technical assessments, including <a href=\"https:\/\/www.oadtechnologies.com\/vulnerability-assessment-and-penetration-testing-vapt-a-strategic-enterprise-guide-for-2026\/\">VAPT<\/a>, uncover hidden exposure risks where shadow data might be leaking through unpatched vulnerabilities. Recent industry findings from 2024 indicate that 68% of enterprise data in the region is unmanaged or unclassified. By integrating discovery with rigorous testing, we ensure that your most sensitive assets are fortified against both external breaches and internal negligence.<\/p>\n<h3>The OAD Strategic Advantage<\/h3>\n<p>We operate at the intersection of human intelligence and machine capability. Our approach avoids the &#8220;black box&#8221; mentality of generic software. Instead, we provide tailored cybersecurity solutions specifically designed for the UAE national market. We focus on long-term digital relevance, ensuring your architecture remains future-proof as regional regulations evolve. As your Expert Architect, we prioritize precision and craftsmanship over quick, superficial fixes. Our team works as an extension of yours to solve complex digital challenges with grounded, practical results.<\/p>\n<h3>Next Steps for Your Organisation<\/h3>\n<p>The journey toward total data sovereignty begins with a clear understanding of your current risk profile. We recommend taking these three concrete steps to secure your environment:<\/p>\n<ul>\n<li><strong>Conduct a data risk assessment:<\/strong> Locate shadow data residing in forgotten cloud buckets or local drives to eliminate blind spots.<\/li>\n<li><strong>Develop a classification schema:<\/strong> Create a framework that matches your specific risk appetite and UAE regulatory requirements.<\/li>\n<li><strong>Consult an Expert Architect:<\/strong> Contact OAD Technologies to design a unified discovery and protection strategy that scales with your growth.<\/li>\n<\/ul>\n<p>Don&#8217;t leave your enterprise&#8217;s digital future to chance. It&#8217;s time to build a foundation that protects your data while empowering your people to work securely. Our collaborative methodology ensures that your security posture isn&#8217;t just a barrier, but a strategic enabler for your business.<\/p>\n<h2 id=\"architecting-a-resilient-data-future-in-the-uae\"><a name=\"architecting-a-resilient-data-future-in-the-uae\"><\/a>Architecting a Resilient Data Future in the UAE<\/h2>\n<p>The transition toward 2026 demands a shift from passive governance to active, contextual intelligence. Modern <strong>data discovery and classification tools<\/strong> must do more than identify files; they&#8217;ve got to integrate seamlessly with Data Loss Prevention (DLP) frameworks to protect assets across hybrid and multi-cloud environments. Enterprises in the UAE face unique regulatory landscapes, including Federal Decree-Law No. 45 of 2021. Successful implementation hinges on selecting architectures that balance technical accuracy with strategic business ROI. OAD Technologies provides specialized enterprise solutions tailored for the UAE market, ensuring your infrastructure remains compliant and secure.<\/p>\n<p>Our team brings proven expertise in managing complex security architectures and comprehensive GRC strategic consulting. We don&#8217;t believe in one-size-fits-all software. Instead, we focus on bespoke strategies that empower your people and future-proof your digital operations. It&#8217;s time to move beyond basic discovery and toward a unified security posture that drives operational efficiency. <a href=\"https:\/\/www.oadtechnologies.com\">Speak with an OAD Expert Architect about your data security strategy<\/a> to begin building your roadmap. We&#8217;re ready to help you navigate these complexities with precision and confidence.<\/p>\n<h2 id=\"frequently-asked-questions\"><a name=\"frequently-asked-questions\"><\/a>Frequently Asked Questions<\/h2>\n<h3>What is the difference between data discovery and data classification?<\/h3>\n<p>Data discovery identifies where your data resides across the network, while classification assigns a value or label to that data based on its sensitivity. Discovery acts as the search engine that scans databases and file shares to build a comprehensive inventory. Classification then applies metadata tags like &#8220;Confidential&#8221; or &#8220;Public&#8221; to guide security protocols. You can&#8217;t protect what you haven&#8217;t found, so discovery must always precede classification in a robust security framework.<\/p>\n<h3>How do discovery tools help with UAE PDPL compliance?<\/h3>\n<p>Modern <strong>data discovery and classification tools<\/strong> automate the identification of Personal Data (PD) as mandated by the UAE Federal Decree-Law No. 45 of 2021. These systems scan for specific identifiers like Emirates ID numbers, local phone formats, and residential addresses to ensure your organization meets Article 13 requirements for data mapping. By maintaining an updated registry of processing activities, you reduce the risk of non-compliance penalties that can reach millions of Dirhams.<\/p>\n<h3>Can these tools handle unstructured data like images or scanned documents?<\/h3>\n<p>Yes, enterprise-grade tools now utilize Optical Character Recognition (OCR) and machine learning to analyze unstructured files. They can extract text from scanned PDFs, JPGs, and PNGs to identify sensitive information hidden within images. Recent 2024 industry benchmarks show that top-tier AI models achieve over 98 percent accuracy in detecting sensitive patterns within complex image-based documents. This capability is vital for UAE firms handling high volumes of physical KYC documents.<\/p>\n<h3>Is it possible to automate the remediation of sensitive data exposure?<\/h3>\n<p>You can definitely automate remediation by setting trigger-based actions such as encryption, file movement, or immediate deletion. When a tool detects sensitive files in an unsecured cloud bucket, it can automatically revoke permissions or move the file to a hardened environment. This reduces the mean time to remediate (MTTR) from several hours to under 30 seconds. Automation ensures that human error doesn&#8217;t leave your most critical assets exposed to external threats.<\/p>\n<h3>How does data discovery integrate with an existing DLP solution?<\/h3>\n<p>Discovery tools function as the intelligence layer that informs your Data Loss Prevention (DLP) engine. By applying persistent metadata tags to files, <strong>data discovery and classification tools<\/strong> tell the DLP exactly which files require strict egress controls. This integration prevents the &#8220;false positive&#8221; fatigue that often plagues standalone DLP deployments. It creates a seamless loop where discovery finds the data and DLP enforces the boundary based on the discovered context.<\/p>\n<h3>What is the average time to deploy an enterprise-wide discovery tool?<\/h3>\n<p>A typical enterprise deployment in the UAE market takes between 6 and 14 weeks to reach full operational maturity. The initial setup and &#8220;low-hanging fruit&#8221; scans usually finish within the first 15 days. Policy refinement and integration with existing security stacks consume the remaining 8 to 12 weeks. Large-scale organizations with over 500 servers should plan for a phased rollout to ensure metadata tagging remains consistent across all business units.<\/p>\n<h3>How do these tools impact system performance and network latency?<\/h3>\n<p>Impact is minimal because modern tools use agentless scanning and throttled resource consumption. You&#8217;ll typically see less than 3 percent CPU overhead on target servers during active scanning windows. Most UAE enterprises schedule deep scans during off-peak hours, such as Friday mornings, to ensure zero impact on production workloads. Intelligent indexing also means the tool only scans modified files after the initial baseline, which significantly reduces network traffic.<\/p>\n<h3>Do I need a separate tool for cloud and on-premises data?<\/h3>\n<p>You don&#8217;t need separate tools; a unified hybrid-cloud architecture is the strategic standard for 2026. A single pane of glass allows you to manage data residing in local Dubai-based data centers alongside assets in global cloud environments like Azure or AWS. Centralizing your discovery process ensures that security policies remain consistent regardless of where the data lives. This approach simplifies your audit trails and significantly lowers the total cost of ownership for your security stack.<\/p>\n<div class=\"article-disclaimer\" style=\"margin-bottom: 10px\">\n<h3>Disclaimer<\/h3>\n<p><em>Content by OAD Technologies is for general informational purposes only and does not constitute professional or cybersecurity advice. No warranties are made regarding accuracy or completeness; reliance is at your own risk. OAD Technologies shall not be liable for any direct or indirect losses arising from use of this content.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Recent 2024 industry surveys indicate that 63% of UAE IT leaders now find that unstructured shadow data exceeds their managed storage, creating a&#8230;<\/p>\n","protected":false},"author":2,"featured_media":7007,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[49,199,198,120,93,201,200,46],"class_list":{"0":"post-7008","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cybersecurity","8":"tag-compliance","9":"tag-data-classification","10":"tag-data-discovery","11":"tag-data-governance","12":"tag-data-security","13":"tag-enterprise-it","14":"tag-shadow-data","15":"tag-uae-pdpl","16":"autoseo"},"_links":{"self":[{"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/posts\/7008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/comments?post=7008"}],"version-history":[{"count":3,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/posts\/7008\/revisions"}],"predecessor-version":[{"id":7012,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/posts\/7008\/revisions\/7012"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/media\/7007"}],"wp:attachment":[{"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/media?parent=7008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/categories?post=7008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my-demo.xyz\/oadtechnologies\/wp-json\/wp\/v2\/tags?post=7008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}