<p>The traditional network perimeter has effectively disappeared, creating a major data security problem for CISOs and their teams.</p>
<p>Organizations today operate across on-premises, multi-cloud, API and edge systems with no fixed boundaries. Data traverses SaaS platforms and cloud services, remote user systems, APIs and partner ecosystems, changing the data security game. SaaS sprawl, <a href=”https://www.techtarget.com/searchcio/tip/6-dangers-of-shadow-IT-and-how-to-avoid-them”>shadow IT</a> and API-driven integrations only make the data security challenge more difficult.</p>
<p>Simply put, data protection has moved from perimeter security to distributed, lifecycle-based controls. Organizations must unify governance, encryption, tokenization and policy-based access into a single operating model to protect the organization’s data, maintain resilience, meet compliance obligations and retain the performance that employees and customers expect.</p>
<p>The focus must shift from infrastructure security to data-centric protection, where identity and context — not location — determine access decisions. This requires applying consistent controls where data is created, stored, shared or processed.</p>
<section class=”section main-article-chapter” data-menu-title=”Governance, visibility and data lifecycle control”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Governance, visibility and data lifecycle control</h2>
<p>Effective data protection begins with <a href=”https://www.techtarget.com/searchdatamanagement/tip/6-key-steps-to-develop-a-data-governance-strategy”>governance</a>. Organizations need clear data ownership models. Define responsibility for classifying data, approving access and managing protection policies across business units, cloud platforms and SaaS applications. Without accountability, security controls become fragmented and inconsistent.</p>
<p>Visibility is equally crucial. Continuously discover and monitor sensitive data across cloud, SaaS, databases, endpoints and edge environments. <a href=”https://www.techtarget.com/searchsecurity/tip/How-to-write-a-data-classification-policy-with-template”>Data classification</a> enables appropriate protections based on business value, sensitivity and regulatory requirements.</p>
<p>Establish data lifecycle controls to protect data from creation and active use to sharing, retention, archival and <a href=”https://www.techtarget.com/searchDataBackup/tip/Increase-backup-efficiency-with-a-data-destruction-policy”>deletion</a>. Lifecycle-based policies keep controls consistent and comprehensive as data moves among systems, platforms and users. Data lineage and audit trails provide the transparency needed for compliance and incident investigations. Use automated monitoring to identify policy drift and emerging risks before they become security incidents.</p>
</section>
<section class=”section main-article-chapter” data-menu-title=”Core protection model: Encryption, tokenization and policy enforcement”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Core protection model: Encryption, tokenization and policy enforcement</h2>
<p>The core data-centric protection model supports safe, scalable data use across diverse systems. It relies on encryption, tokenization and policy-based access controls.</p>
<ul class=”default-list”>
<li><b>Encryption</b> is applied to <a href=”https://www.techtarget.com/searchsecurity/feature/Best-practices-to-secure-data-at-rest-in-use-and-in-motion”>data at rest, in transit and in use</a>.</li>
<li><b>Tokenization</b> replaces sensitive data with placeholder values, aka <i>tokens</i>, in analytics, SaaS tools and operational systems.</li>
<li><b>Policy-based access control</b> enables dynamic enforcement based on identity, device, location and data sensitivity.</li>
</ul>
<p>These capabilities extend beyond the traditional infrastructure into APIs, microservices and third-party integrations. Consistency is critical — fragmented policies create bypass paths and compliance gaps. Controls must also minimize friction for engineering teams while maintaining strict enforcement.</p>
</section>
<section class=”section main-article-chapter” data-menu-title=”Key management and cryptographic control”>
<h2 class=”section-title”><i class=”icon” data-icon=”1″></i>Key management and cryptographic control</h2>
<p>Key management a critical component of data protection, providing security and resilience while ensuring regulatory compliance. Establish centralized governance over key policies while permitting distributed enforc
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