{"id":58239,"date":"2025-12-30T20:02:56","date_gmt":"2025-12-30T20:02:56","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58239"},"modified":"2026-01-18T20:05:57","modified_gmt":"2026-01-18T20:05:57","slug":"top-10-data-masking-tokenization-tools-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-data-masking-tokenization-tools-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Data Masking & Tokenization Tools: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/strong><\/h2>\n\n\n\n

In today\u2019s data-driven world, organizations collect, process, and store massive volumes of sensitive information\u2014customer identities, financial records, healthcare data, and proprietary business details. Data Masking & Tokenization Tools<\/strong> play a critical role in protecting this information by ensuring that sensitive data is never exposed unnecessarily, even inside internal systems. Instead of leaving raw data accessible, these tools replace or obfuscate sensitive fields while preserving usability for analytics, testing, and operations.<\/p>\n\n\n\n

Data masking focuses on irreversibly hiding sensitive values<\/strong> (for example, replacing real names with fictional ones), while tokenization replaces sensitive data with reversible tokens<\/strong> stored securely in a vault. Together, these techniques reduce breach impact, support regulatory compliance, and enable secure data sharing across teams and environments.<\/p>\n\n\n\n

Common real-world use cases include securing non-production environments, enabling safe analytics on customer data, complying with privacy regulations, and protecting cloud data pipelines. When choosing a tool, buyers should evaluate data coverage, reversibility needs, performance, compliance certifications, ease of integration, and scalability<\/strong>.<\/p>\n\n\n\n

Best for:<\/strong>
Security teams, data engineers, compliance officers, DevOps teams, and enterprises handling regulated or sensitive data across cloud, on-prem, and hybrid environments.<\/p>\n\n\n\n

Not ideal for:<\/strong>
Very small teams with no sensitive data, static datasets that never leave production, or use cases where simple encryption alone already meets security and compliance needs.<\/p>\n\n\n\n

\n\n\n\n

Top 10 Data Masking & Tokenization Tools<\/strong><\/h2>\n\n\n\n

1 \u2014 Protegrity<\/strong><\/h3>\n\n\n\n

Short description:<\/strong>
An enterprise-grade platform specializing in tokenization and data protection for highly regulated industries like finance and healthcare.<\/p>\n\n\n\n

Key features<\/strong><\/p>\n\n\n\n

    \n
  • Vault-based and vault-less tokenization<\/li>\n\n\n\n
  • Format-preserving encryption<\/li>\n\n\n\n
  • High-performance token services<\/li>\n\n\n\n
  • Centralized policy management<\/li>\n\n\n\n
  • Cloud, on-prem, and hybrid support<\/li>\n\n\n\n
  • Fine-grained access controls<\/li>\n<\/ul>\n\n\n\n

    Pros<\/strong><\/p>\n\n\n\n

      \n
    • Extremely strong security posture<\/li>\n\n\n\n
    • Proven at large enterprise scale<\/li>\n<\/ul>\n\n\n\n

      Cons<\/strong><\/p>\n\n\n\n

        \n
      • Complex initial setup<\/li>\n\n\n\n
      • Premium pricing<\/li>\n<\/ul>\n\n\n\n

        Security & compliance:<\/strong> SOC 2, GDPR, HIPAA, PCI DSS
        Support & community:<\/strong> Enterprise-level support, strong documentation, limited open community<\/p>\n\n\n\n

        \n\n\n\n

        2 \u2014 Informatica<\/strong><\/h3>\n\n\n\n

        Short description:<\/strong>
        A comprehensive data management platform with robust static and dynamic data masking capabilities.<\/p>\n\n\n\n

        Key features<\/strong><\/p>\n\n\n\n

          \n
        • Static and dynamic data masking<\/li>\n\n\n\n
        • Broad database and application coverage<\/li>\n\n\n\n
        • Metadata-driven policies<\/li>\n\n\n\n
        • Cloud and on-prem support<\/li>\n\n\n\n
        • Automation for Dev\/Test environments<\/li>\n<\/ul>\n\n\n\n

          Pros<\/strong><\/p>\n\n\n\n

            \n
          • Rich ecosystem integration<\/li>\n\n\n\n
          • Mature enterprise tooling<\/li>\n<\/ul>\n\n\n\n

            Cons<\/strong><\/p>\n\n\n\n

              \n
            • Licensing complexity<\/li>\n\n\n\n
            • Steeper learning curve<\/li>\n<\/ul>\n\n\n\n

              Security & compliance:<\/strong> GDPR, HIPAA, ISO standards
              Support & community:<\/strong> Strong enterprise support and training resources<\/p>\n\n\n\n

              \n\n\n\n

              3 \u2014 Thales<\/strong><\/h3>\n\n\n\n

              Short description:<\/strong>
              Provides tokenization and encryption solutions focused on data security across cloud and enterprise systems.<\/p>\n\n\n\n

              Key features<\/strong><\/p>\n\n\n\n

                \n
              • Vault-based tokenization<\/li>\n\n\n\n
              • Encryption key lifecycle management<\/li>\n\n\n\n
              • Cloud-native deployment options<\/li>\n\n\n\n
              • Centralized security policies<\/li>\n\n\n\n
              • Strong access controls<\/li>\n<\/ul>\n\n\n\n

                Pros<\/strong><\/p>\n\n\n\n

                  \n
                • Excellent cryptographic expertise<\/li>\n\n\n\n
                • Trusted global brand<\/li>\n<\/ul>\n\n\n\n

                  Cons<\/strong><\/p>\n\n\n\n

                    \n
                  • Higher operational overhead<\/li>\n\n\n\n
                  • Less intuitive UI<\/li>\n<\/ul>\n\n\n\n

                    Security & compliance:<\/strong> GDPR, PCI DSS, ISO 27001
                    Support & community:<\/strong> Enterprise support, extensive documentation<\/p>\n\n\n\n

                    \n\n\n\n

                    4 \u2014 IBM<\/strong><\/h3>\n\n\n\n

                    Short description:<\/strong>
                    A long-standing enterprise solution offering both masking and tokenization as part of a broader security portfolio.<\/p>\n\n\n\n

                    Key features<\/strong><\/p>\n\n\n\n

                      \n
                    • Dynamic and static data masking<\/li>\n\n\n\n
                    • Tokenization with policy enforcement<\/li>\n\n\n\n
                    • Integration with IBM data platforms<\/li>\n\n\n\n
                    • Audit and monitoring tools<\/li>\n\n\n\n
                    • Scalable enterprise deployment<\/li>\n<\/ul>\n\n\n\n

                      Pros<\/strong><\/p>\n\n\n\n

                        \n
                      • Deep enterprise integration<\/li>\n\n\n\n
                      • Reliable and well-supported<\/li>\n<\/ul>\n\n\n\n

                        Cons<\/strong><\/p>\n\n\n\n

                          \n
                        • Heavyweight for small teams<\/li>\n\n\n\n
                        • Higher total cost of ownership<\/li>\n<\/ul>\n\n\n\n

                          Security & compliance:<\/strong> SOC 2, GDPR, HIPAA
                          Support & community:<\/strong> Extensive enterprise support and knowledge base<\/p>\n\n\n\n

                          \n\n\n\n

                          5 \u2014 Oracle<\/strong><\/h3>\n\n\n\n

                          Short description:<\/strong>
                          Native data masking and redaction features embedded within Oracle\u2019s database ecosystem.<\/p>\n\n\n\n

                          Key features<\/strong><\/p>\n\n\n\n

                            \n
                          • Static data masking<\/li>\n\n\n\n
                          • Real-time data redaction<\/li>\n\n\n\n
                          • Tight database integration<\/li>\n\n\n\n
                          • Role-based access controls<\/li>\n\n\n\n
                          • Performance-optimized operations<\/li>\n<\/ul>\n\n\n\n

                            Pros<\/strong><\/p>\n\n\n\n

                              \n
                            • Seamless for Oracle environments<\/li>\n\n\n\n
                            • Strong database-level performance<\/li>\n<\/ul>\n\n\n\n

                              Cons<\/strong><\/p>\n\n\n\n

                                \n
                              • Limited outside Oracle stack<\/li>\n\n\n\n
                              • Less flexible for heterogeneous systems<\/li>\n<\/ul>\n\n\n\n

                                Security & compliance:<\/strong> GDPR, ISO standards
                                Support & community:<\/strong> Strong enterprise support<\/p>\n\n\n\n

                                \n\n\n\n

                                6 \u2014 Privitar<\/strong><\/h3>\n\n\n\n

                                Short description:<\/strong>
                                A privacy-engineering platform designed to enable safe data sharing and analytics.<\/p>\n\n\n\n

                                Key features<\/strong><\/p>\n\n\n\n

                                  \n
                                • Privacy-by-design masking<\/li>\n\n\n\n
                                • Policy-driven transformations<\/li>\n\n\n\n
                                • Analytics-friendly masking<\/li>\n\n\n\n
                                • Cloud-native architecture<\/li>\n\n\n\n
                                • Fine-grained governance<\/li>\n<\/ul>\n\n\n\n

                                  Pros<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Excellent for data sharing<\/li>\n\n\n\n
                                  • Strong privacy focus<\/li>\n<\/ul>\n\n\n\n

                                    Cons<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Narrower scope than full data platforms<\/li>\n\n\n\n
                                    • Requires data governance maturity<\/li>\n<\/ul>\n\n\n\n

                                      Security & compliance:<\/strong> GDPR, privacy frameworks
                                      Support & community:<\/strong> Good documentation, enterprise onboarding<\/p>\n\n\n\n

                                      \n\n\n\n

                                      7 \u2014 Delphix<\/strong><\/h3>\n\n\n\n

                                      Short description:<\/strong>
                                      Specializes in data masking for Dev\/Test environments with automation and speed.<\/p>\n\n\n\n

                                      Key features<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Automated static data masking<\/li>\n\n\n\n
                                      • Dev\/Test environment acceleration<\/li>\n\n\n\n
                                      • CI\/CD integration<\/li>\n\n\n\n
                                      • Data versioning<\/li>\n\n\n\n
                                      • Broad database support<\/li>\n<\/ul>\n\n\n\n

                                        Pros<\/strong><\/p>\n\n\n\n

                                          \n
                                        • Excellent developer productivity<\/li>\n\n\n\n
                                        • Fast environment provisioning<\/li>\n<\/ul>\n\n\n\n

                                          Cons<\/strong><\/p>\n\n\n\n

                                            \n
                                          • Primarily Dev\/Test focused<\/li>\n\n\n\n
                                          • Less suited for real-time tokenization<\/li>\n<\/ul>\n\n\n\n

                                            Security & compliance:<\/strong> GDPR, SOC frameworks
                                            Support & community:<\/strong> Strong enterprise support<\/p>\n\n\n\n

                                            \n\n\n\n

                                            8 \u2014 Micro Focus<\/strong><\/h3>\n\n\n\n

                                            Short description:<\/strong>
                                            Enterprise data protection tools focused on compliance and secure testing environments.<\/p>\n\n\n\n

                                            Key features<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Static data masking<\/li>\n\n\n\n
                                            • Broad legacy system support<\/li>\n\n\n\n
                                            • Policy-based masking rules<\/li>\n\n\n\n
                                            • Reporting and audit trails<\/li>\n\n\n\n
                                            • Scalable enterprise deployment<\/li>\n<\/ul>\n\n\n\n

                                              Pros<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Good for legacy environments<\/li>\n\n\n\n
                                              • Strong compliance reporting<\/li>\n<\/ul>\n\n\n\n

                                                Cons<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Older user experience<\/li>\n\n\n\n
                                                • Slower innovation pace<\/li>\n<\/ul>\n\n\n\n

                                                  Security & compliance:<\/strong> GDPR, ISO standards
                                                  Support & community:<\/strong> Enterprise-focused support<\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  9 \u2014 Google<\/strong><\/h3>\n\n\n\n

                                                  Short description:<\/strong>
                                                  Cloud-native data protection services with tokenization-like capabilities for modern pipelines.<\/p>\n\n\n\n

                                                  Key features<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • Cloud-scale data transformation<\/li>\n\n\n\n
                                                  • Integration with analytics services<\/li>\n\n\n\n
                                                  • Encryption and access controls<\/li>\n\n\n\n
                                                  • High performance at scale<\/li>\n\n\n\n
                                                  • Managed cloud infrastructure<\/li>\n<\/ul>\n\n\n\n

                                                    Pros<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Excellent scalability<\/li>\n\n\n\n
                                                    • Easy integration in cloud ecosystems<\/li>\n<\/ul>\n\n\n\n

                                                      Cons<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • Cloud-centric only<\/li>\n\n\n\n
                                                      • Limited advanced masking customization<\/li>\n<\/ul>\n\n\n\n

                                                        Security & compliance:<\/strong> SOC 2, GDPR, ISO
                                                        Support & community:<\/strong> Strong documentation and cloud support plans<\/p>\n\n\n\n

                                                        \n\n\n\n

                                                        10 \u2014 Microsoft<\/strong><\/h3>\n\n\n\n

                                                        Short description:<\/strong>
                                                        Provides data masking and tokenization-style protections across databases and cloud services.<\/p>\n\n\n\n

                                                        Key features<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • Dynamic data masking<\/li>\n\n\n\n
                                                        • Integration with cloud security services<\/li>\n\n\n\n
                                                        • Role-based access control<\/li>\n\n\n\n
                                                        • Audit and monitoring<\/li>\n\n\n\n
                                                        • Hybrid deployment support<\/li>\n<\/ul>\n\n\n\n

                                                          Pros<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • Easy adoption for Microsoft users<\/li>\n\n\n\n
                                                          • Broad ecosystem integration<\/li>\n<\/ul>\n\n\n\n

                                                            Cons<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • Basic masking compared to specialists<\/li>\n\n\n\n
                                                            • Limited advanced tokenization<\/li>\n<\/ul>\n\n\n\n

                                                              Security & compliance:<\/strong> SOC 2, GDPR, ISO
                                                              Support & community:<\/strong> Extensive documentation and global support<\/p>\n\n\n\n

                                                              \n\n\n\n

                                                              Comparison Table<\/strong><\/h2>\n\n\n\n
                                                              Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                              Protegrity<\/td>Large regulated enterprises<\/td>Cloud \/ On-prem \/ Hybrid<\/td>High-performance tokenization<\/td>N\/A<\/td><\/tr>
                                                              Informatica<\/td>Enterprise data teams<\/td>Cloud \/ On-prem<\/td>Broad data ecosystem<\/td>N\/A<\/td><\/tr>
                                                              Thales<\/td>Security-focused organizations<\/td>Cloud \/ On-prem<\/td>Cryptographic strength<\/td>N\/A<\/td><\/tr>
                                                              IBM<\/td>Large enterprises<\/td>Hybrid<\/td>Integrated security stack<\/td>N\/A<\/td><\/tr>
                                                              Oracle<\/td>Oracle-centric teams<\/td>On-prem \/ Cloud<\/td>Native DB masking<\/td>N\/A<\/td><\/tr>
                                                              Privitar<\/td>Data sharing & analytics<\/td>Cloud<\/td>Privacy-by-design<\/td>N\/A<\/td><\/tr>
                                                              Delphix<\/td>Dev\/Test teams<\/td>Hybrid<\/td>Fast environment masking<\/td>N\/A<\/td><\/tr>
                                                              Micro Focus<\/td>Legacy systems<\/td>On-prem<\/td>Legacy compliance<\/td>N\/A<\/td><\/tr>
                                                              Google<\/td>Cloud-native pipelines<\/td>Cloud<\/td>Massive scalability<\/td>N\/A<\/td><\/tr>
                                                              Microsoft<\/td>Hybrid enterprises<\/td>Cloud \/ Hybrid<\/td>Ecosystem integration<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Evaluation & Scoring of Data Masking & Tokenization Tools<\/strong><\/h2>\n\n\n\n
                                                              Tool<\/th>Core Features (25%)<\/th>Ease of Use (15%)<\/th>Integrations (15%)<\/th>Security (10%)<\/th>Performance (10%)<\/th>Support (10%)<\/th>Price \/ Value (15%)<\/th>Total Score<\/th><\/tr><\/thead>
                                                              Protegrity<\/td>23<\/td>10<\/td>12<\/td>10<\/td>9<\/td>9<\/td>8<\/td>81<\/strong><\/td><\/tr>
                                                              Informatica<\/td>22<\/td>11<\/td>14<\/td>9<\/td>8<\/td>9<\/td>8<\/td>81<\/strong><\/td><\/tr>
                                                              Thales<\/td>21<\/td>9<\/td>11<\/td>10<\/td>8<\/td>9<\/td>7<\/td>75<\/strong><\/td><\/tr>
                                                              IBM<\/td>20<\/td>10<\/td>13<\/td>9<\/td>8<\/td>9<\/td>7<\/td>76<\/strong><\/td><\/tr>
                                                              Oracle<\/td>18<\/td>12<\/td>10<\/td>8<\/td>9<\/td>8<\/td>9<\/td>74<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Which Data Masking & Tokenization Tool Is Right for You?<\/strong><\/h2>\n\n\n\n
                                                                \n
                                                              • Solo users & small teams:<\/strong> Lightweight or cloud-native masking features are often sufficient.<\/li>\n\n\n\n
                                                              • SMBs:<\/strong> Look for ease of use, automation, and reasonable pricing.<\/li>\n\n\n\n
                                                              • Mid-market:<\/strong> Balance strong compliance with integration flexibility.<\/li>\n\n\n\n
                                                              • Enterprise:<\/strong> Prioritize scalability, auditability, and advanced tokenization.<\/li>\n<\/ul>\n\n\n\n

                                                                Budget-conscious teams may prefer integrated cloud offerings, while regulated industries often require premium, specialized vendors. Always align security depth, integration needs, and compliance scope<\/strong> with your organization\u2019s risk profile.<\/p>\n\n\n\n

                                                                \n\n\n\n

                                                                Frequently Asked Questions (FAQs)<\/strong><\/h2>\n\n\n\n
                                                                  \n
                                                                1. What is the difference between masking and tokenization?<\/strong>
                                                                  Masking irreversibly hides data, while tokenization replaces it with reversible tokens.<\/li>\n\n\n\n
                                                                2. Do these tools impact performance?<\/strong>
                                                                  Modern platforms are optimized, but real-time tokenization can add minimal latency.<\/li>\n\n\n\n
                                                                3. Are these tools required for compliance?<\/strong>
                                                                  Often yes, especially for GDPR, HIPAA, or PCI-related environments.<\/li>\n\n\n\n
                                                                4. Can masked data still be used for analytics?<\/strong>
                                                                  Yes, many tools preserve format and statistical relevance.<\/li>\n\n\n\n
                                                                5. Are cloud-native tools secure enough?<\/strong>
                                                                  Yes, when combined with strong access controls and encryption.<\/li>\n\n\n\n
                                                                6. Do I need tokenization for non-production data?<\/strong>
                                                                  Not always; static masking is usually sufficient.<\/li>\n\n\n\n
                                                                7. How complex is implementation?<\/strong>
                                                                  Ranges from simple configuration to multi-week enterprise projects.<\/li>\n\n\n\n
                                                                8. Can these tools integrate with CI\/CD pipelines?<\/strong>
                                                                  Several tools support automation for Dev\/Test workflows.<\/li>\n\n\n\n
                                                                9. Are these solutions expensive?<\/strong>
                                                                  Costs vary widely based on scale, features, and compliance needs.<\/li>\n\n\n\n
                                                                10. What is the biggest mistake buyers make?<\/strong>
                                                                  Choosing based on brand alone instead of actual data workflows.<\/li>\n<\/ol>\n\n\n\n
                                                                  \n\n\n\n

                                                                  Conclusion<\/strong><\/h2>\n\n\n\n

                                                                  Data Masking & Tokenization Tools are no longer optional for organizations handling sensitive data. They reduce breach risk, support compliance, and enable secure data usage across teams. While enterprise leaders like Protegrity or Informatica excel at scale, cloud providers offer simplicity and speed for modern workloads.<\/p>\n\n\n\n

                                                                  The best tool is the one that fits your data landscape, compliance obligations, and operational maturity<\/strong>. By focusing on real requirements instead of hype, organizations can protect data effectively without sacrificing usability or performance.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                  Introduction In today\u2019s data-driven world, organizations collect, process, and store massive volumes of sensitive information\u2014customer identities, financial records, healthcare data, and proprietary business details. Data Masking & Tokenization Tools play a critical role in protecting this information by ensuring that sensitive data is never exposed unnecessarily, even inside internal systems. Instead of leaving raw data…<\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","_joinchat":[],"footnotes":""},"categories":[11138],"tags":[23551,23549,13313,13603,14532,23546,23550,14396,23545,23547,23548,23553,23552,14400],"class_list":["post-58239","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-cloud-data-masking","tag-data-anonymization-solutions","tag-data-loss-prevention","tag-data-masking-tools","tag-data-privacy-compliance","tag-data-tokenization-tools","tag-database-masking-tools","tag-enterprise-data-security","tag-gdpr-data-security","tag-hipaa-data-protection","tag-pci-dss-data-masking","tag-privacy-engineering-tools","tag-secure-data-transformation","tag-sensitive-data-protection"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58239","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=58239"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58239\/revisions"}],"predecessor-version":[{"id":58242,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58239\/revisions\/58242"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58239"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58239"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}