{"id":120,"date":"2025-12-19T09:44:32","date_gmt":"2025-12-19T09:44:32","guid":{"rendered":"https:\/\/d917.daikinvina.com\/?p=120"},"modified":"2025-12-19T09:52:59","modified_gmt":"2025-12-19T09:52:59","slug":"best-enterprise-ai-governance-tools-2025-full-product-comparison-pricing-buy-vs-subscription","status":"publish","type":"post","link":"https:\/\/d917.daikinvina.com\/?p=120","title":{"rendered":"Best Enterprise AI Governance Tools 2025: Full Product Comparison & Pricing Buy vs Subscription"},"content":{"rendered":"

In 2025, enterprise AI governance and compliance<\/strong> has moved from optional IT oversight to an organizational imperative. As AI systems \u2014 including large language models, generative AI tools, and autonomous AI agents \u2014 are deeply embedded into enterprise operations, risk and regulatory pressures are rising sharply. Businesses now need structured solutions for transparency, compliance, governance, audit readiness, and ethical monitoring.<\/p>\n

This comprehensive guide delivers a comparison of the best enterprise AI governance platforms<\/strong>, detailed buy vs subscription pricing models<\/strong>, real-world considerations, and up-to-date guidance for CIOs, CISOs, risk leaders, and compliance teams. With focus on high-value keyword phrases like enterprise AI governance software pricing<\/em>, AI governance tools comparison for regulated industries<\/em>, and enterprise AI compliance and risk management solutions<\/em>, this piece is crafted to match top commercial intent search traffic in 2025.<\/p>\n

\n

Why AI Governance Tools Are Critical in 2025<\/h2>\n

Modern enterprises have shifted from isolated AI experiments to complex AI ecosystems, including:<\/p>\n

    \n
  • \n

    Generative AI initiatives<\/strong> in marketing, customer support, and design<\/p>\n<\/li>\n

  • \n

    AI agents<\/strong> operating across workflows and business systems<\/p>\n<\/li>\n

  • \n

    Automated decision systems<\/strong> in HR, finance, and risk assessment<\/p>\n<\/li>\n

  • \n

    Third-party AI integration<\/strong> through SaaS platforms<\/p>\n<\/li>\n<\/ul>\n

    This evolution introduces new categories of risk:<\/p>\n

      \n
    1. \n

      Regulatory risk<\/strong>, especially under frameworks like the EU AI Act, GDPR compliance, and evolving US guidelines.<\/p>\n<\/li>\n

    2. \n

      Security risk<\/strong>, including data leakage, unauthorized access, and model manipulation.<\/p>\n<\/li>\n

    3. \n

      Ethical risk<\/strong>, where bias or unexplainable AI decisions impact trust.<\/p>\n<\/li>\n

    4. \n

      Operational risk<\/strong>, including model drift and unmonitored AI activity.<\/p>\n<\/li>\n<\/ol>\n

      AI governance and compliance tools help organizations systematically track, evaluate, mitigate, and report on these risks \u2014 essentially turning AI from a compliance challenge into a managed enterprise capability.<\/p>\n

      \n

      What Enterprise AI Governance Tools Should Do<\/h2>\n

      Before comparing specific products, it\u2019s important to understand the core features enterprise buyers care about<\/strong>:<\/p>\n

      1. Comprehensive AI Inventory and Discovery<\/h3>\n

      Tooling should automatically detect, catalog, and classify all AI assets including internal models, AI agents, and SaaS-based AI services.
      Keyword focus:<\/strong> enterprise AI asset inventory software<\/p>\n

      2. Risk Classification Aligned to Regulation<\/h3>\n

      Platforms must provide risk scoring and classification, mapped to regulatory frameworks such as the EU AI Act or sector standards like banking or healthcare compliance.
      Keyword focus:<\/strong> AI risk classification tools for enterprises<\/p>\n

      3. Explainability, Fairness & Bias Monitoring<\/h3>\n

      Governance tools should evaluate models for unfair or biased outcomes and explain model behavior for auditors and internal stakeholders.
      Keyword focus:<\/strong> AI explainability and bias monitoring software<\/p>\n

      4. Automated Compliance Documentation<\/h3>\n

      Strong reporting and documentation features are essential for readiness during audits and regulator reviews.
      Keyword focus:<\/strong> AI compliance documentation tools for enterprises<\/p>\n

      5. Integration with Security and Policy Systems<\/h3>\n

      Seamless integration with identity management, security monitoring, and policy enforcement frameworks ensures unified governance across the technology stack.
      Keyword focus:<\/strong> secure AI governance platform for enterprises<\/p>\n

      6. Continuous Monitoring and Alerting<\/h3>\n

      AI governance must go beyond point-in-time checks. Continuous monitoring of performance, drift, and compliance deviations is required.
      Keyword focus:<\/strong> continuous AI risk monitoring for enterprises<\/p>\n

      \n

      Pricing Models: Buy vs Subscription (2025)<\/h2>\n

      When evaluating enterprise software, understanding pricing models is crucial for planning budget and total cost of ownership (TCO).<\/p>\n

      Subscription \/ SaaS Model<\/strong><\/h3>\n

      Most modern governance platforms offer subscription pricing<\/strong>. Organizations pay recurring fees based on:<\/p>\n

        \n
      • \n

        Number of models monitored<\/p>\n<\/li>\n

      • \n

        Volume of compliance checks<\/p>\n<\/li>\n

      • \n

        Number of users accessing governance dashboards<\/p>\n<\/li>\n<\/ul>\n

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

          \n
        • \n

          Predictable recurring cost<\/p>\n<\/li>\n

        • \n

          Frequent updates and feature releases<\/p>\n<\/li>\n

        • \n

          Lower upfront investment
          Cons:<\/strong><\/p>\n<\/li>\n

        • \n

          Can become expensive at scale<\/p>\n<\/li>\n

        • \n

          Costs may grow with AI usage<\/p>\n<\/li>\n<\/ul>\n

          Keyword focus:<\/strong> enterprise AI governance SaaS pricing<\/p>\n

          Perpetual License (Buy)<\/strong><\/h3>\n

          Some vendors allow organizations to purchase a perpetual license<\/strong>, often paired with annual support and maintenance.<\/p>\n

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

            \n
          • \n

            One time capital expenditure<\/p>\n<\/li>\n

          • \n

            Predictable long-term cost
            Cons:<\/strong><\/p>\n<\/li>\n

          • \n

            Higher initial investment<\/p>\n<\/li>\n

          • \n

            May require separate upgrade fees<\/p>\n<\/li>\n<\/ul>\n

            Keyword focus:<\/strong> AI governance software perpetual license pricing<\/p>\n

            Hybrid Pricing<\/strong><\/h3>\n

            Hybrid models blend subscription and usage-based pricing. For example, a base subscription plus additional fees for compliance reporting, regulatory mapping, or monitoring actions.<\/p>\n

            Keyword focus:<\/strong> enterprise AI governance hybrid pricing models<\/p>\n

            \n

            Comparing the Top Enterprise AI Governance Tools in 2025<\/h2>\n

            Below is an in-depth comparison of the leading enterprise AI governance and compliance solutions available this year.<\/p>\n

            \n

            IBM Watson AI Governance Suite<\/strong><\/h3>\n

            Target audience:<\/strong> Large enterprises in highly regulated industries (finance, healthcare, insurance)
            Pricing approach:<\/strong> Custom enterprise license or subscription<\/p>\n

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

              \n
            • \n

              Strong integration with enterprise security and data governance<\/p>\n<\/li>\n

            • \n

              Comprehensive documentation and audit readiness<\/p>\n<\/li>\n

            • \n

              Advanced fairness and bias mitigation reports<\/p>\n<\/li>\n<\/ul>\n

              Why It Stands Out<\/strong>
              \nIBM\u2019s governance suite excels where compliance and audit rigor are non-negotiable \u2014 especially for organizations that must align to global regulatory frameworks across jurisdictions.<\/p>\n

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

                \n
              • \n

                Excellent compliance reporting<\/p>\n<\/li>\n

              • \n

                Supports complex risk frameworks<\/p>\n<\/li>\n

              • \n

                Robust professional support<\/p>\n<\/li>\n<\/ul>\n

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

                  \n
                • \n

                  Higher initial cost than many SaaS platforms<\/p>\n<\/li>\n

                • \n

                  Implementation may take longer<\/p>\n<\/li>\n<\/ul>\n

                  Pricing Insight (2025)<\/strong>
                  Most enterprise engagements start at a high base tier plus services, often well over six figures annually.<\/p>\n

                  Keyword focus:<\/strong> IBM AI governance platform enterprise pricing<\/p>\n

                  \n

                  Microsoft Responsible AI with Azure Governance<\/strong><\/h3>\n

                  Target audience:<\/strong> Organizations heavily invested in the Microsoft\/Azure ecosystem
                  Pricing approach:<\/strong> Subscription (usage-based)<\/p>\n

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

                    \n
                  • \n

                    Seamless integration with Azure ML, Azure Policy, and Azure Purview<\/p>\n<\/li>\n

                  • \n

                    Responsible AI dashboards plus regulatory reporting tools<\/p>\n<\/li>\n

                  • \n

                    Tight integration with Azure Active Directory for identity governance<\/p>\n<\/li>\n<\/ul>\n

                    Why It Stands Out<\/strong>
                    \nIf your enterprise is already standardized on Azure, this solution provides governance natively within the cloud ecosystem, reducing friction and simplifying integration.<\/p>\n

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

                      \n
                    • \n

                      Easy integration for Azure-based workflows<\/p>\n<\/li>\n

                    • \n

                      Flexible subscription tiers<\/p>\n<\/li>\n

                    • \n

                      Strong built-in compliance templates<\/p>\n<\/li>\n<\/ul>\n

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

                        \n
                      • \n

                        Features outside Azure stack may require custom work<\/p>\n<\/li>\n

                      • \n

                        Subscription costs can scale with usage<\/p>\n<\/li>\n<\/ul>\n

                        Pricing Insight (2025)<\/strong>
                        Subscription fees are determined by active governance users, model volume, and compliance workflows \u2014 offering flexibility at scale.<\/p>\n

                        Keyword focus:<\/strong> Azure AI governance tools subscription pricing<\/p>\n

                        \n

                        Google Cloud AI Governance Suite<\/strong><\/h3>\n

                        Target audience:<\/strong> Enterprises running AI workloads on Google Cloud Platform
                        Pricing approach:<\/strong> Usage-based subscription<\/p>\n

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

                          \n
                        • \n

                          Real-time drift detection and compliance monitoring<\/p>\n<\/li>\n

                        • \n

                          Integration with cloud security and enterprise logging tools<\/p>\n<\/li>\n

                        • \n

                          Very strong observability and analytics capabilities<\/p>\n<\/li>\n<\/ul>\n

                          Why It Stands Out<\/strong>
                          \nGoogle\u2019s governance suite shines for teams that require visibility into model behavior and performance across large fleets of models, especially when data engineering and analytics are central.<\/p>\n

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

                            \n
                          • \n

                            Excellent performance monitoring<\/p>\n<\/li>\n

                          • \n

                            Scalable to heavy AI workloads<\/p>\n<\/li>\n

                          • \n

                            Strong integration with cloud logs and alerts<\/p>\n<\/li>\n<\/ul>\n

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

                              \n
                            • \n

                              Governance features can be less complete than full policy engines<\/p>\n<\/li>\n

                            • \n

                              Costs tied to usage patterns<\/p>\n<\/li>\n<\/ul>\n

                              Pricing Insight (2025)<\/strong>
                              Usage billing is tied to model monitoring actions and compliance scans, which can be cost-effective for predictable usage but needs monitoring.<\/p>\n

                              Keyword focus:<\/strong> Google Cloud AI governance subscription pricing<\/p>\n

                              \n

                              Fiddler AI Governance Platform<\/strong><\/h3>\n

                              Target audience:<\/strong> Enterprises seeking best-in-class explainability and model risk monitoring
                              Pricing approach:<\/strong> Tiered subscription<\/p>\n

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

                                \n
                              • \n

                                Deep explainability tools for both ML and generative AI<\/p>\n<\/li>\n

                              • \n

                                Strong bias detection and fairness visualization<\/p>\n<\/li>\n

                              • \n

                                Vendor-agnostic support across clouds and hybrid environments<\/p>\n<\/li>\n<\/ul>\n

                                Why It Stands Out<\/strong>
                                \nFiddler is a favorite for organizations prioritizing trust & safety, fairness analysis, and explainability<\/strong>, making it particularly strong in ethics-focused governance stacks.<\/p>\n

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

                                  \n
                                • \n

                                  Excellent model observability<\/p>\n<\/li>\n

                                • \n

                                  Multi-cloud and hybrid support<\/p>\n<\/li>\n

                                • \n

                                  Scales with model portfolio size<\/p>\n<\/li>\n<\/ul>\n

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

                                    \n
                                  • \n

                                    Less emphasis on regulatory compliance workflows out-of-the-box<\/p>\n<\/li>\n

                                  • \n

                                    Pricing tiers can get complex<\/p>\n<\/li>\n<\/ul>\n

                                    Pricing Insight (2025)<\/strong>
                                    Subscription tiers typically scale with number of models and level of automation selected.<\/p>\n

                                    Keyword focus:<\/strong> Fiddler AI governance subscription pricing for enterprises<\/p>\n

                                    \n

                                    Credo AI Compliance & Policy Automation<\/strong><\/h3>\n

                                    Target audience:<\/strong> Organizations prioritizing compliance and policy automation
                                    \nPricing approach:<\/strong> Custom or subscription<\/p>\n

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

                                      \n
                                    • \n

                                      Policy mapping aligned to regulations like the EU AI Act<\/p>\n<\/li>\n

                                    • \n

                                      Automated documentation and compliance reporting<\/p>\n<\/li>\n

                                    • \n

                                      Flexible rule configuration for enterprise governance<\/p>\n<\/li>\n<\/ul>\n

                                      Why It Stands Out<\/strong>
                                      \nCredo\u2019s strength lies in formalizing governance policies and linking them to compliance controls \u2014 ideal for regulated industries where audit transparency matters.<\/p>\n

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

                                        \n
                                      • \n

                                        Excellent compliance and risk mapping<\/p>\n<\/li>\n

                                      • \n

                                        Designed for regulatory alignment<\/p>\n<\/li>\n

                                      • \n

                                        Scales with governance complexity<\/p>\n<\/li>\n<\/ul>\n

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

                                          \n
                                        • \n

                                          May require professional services to fully implement tailored policies<\/p>\n<\/li>\n

                                        • \n

                                          Less of a focus on technical model performance<\/p>\n<\/li>\n<\/ul>\n

                                          Pricing Insight (2025)<\/strong>
                                          Pricing is usually negotiated based on scope, size of AI estate, and regulatory needs.<\/p>\n

                                          Keyword focus:<\/strong> Credo AI governance platform enterprise pricing<\/p>\n

                                          \n

                                          Holistic AI Governance & Risk Management<\/strong><\/h3>\n

                                          Target audience:<\/strong> Global enterprises needing unified governance across regions
                                          Pricing approach:<\/strong> Custom enterprise licensing<\/p>\n

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

                                            \n
                                          • \n

                                            Supports multi-jurisdiction compliance (EU + US standards)<\/p>\n<\/li>\n

                                          • \n

                                            Strong risk scoring and remediation recommendations<\/p>\n<\/li>\n

                                          • \n

                                            Policy enforcement and reporting<\/p>\n<\/li>\n<\/ul>\n

                                            Why It Stands Out<\/strong>
                                            \nHolistic AI tools are tailored for organizations that operate across jurisdictions with varying regulations, simplifying compliance through unified controls.<\/p>\n

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

                                              \n
                                            • \n

                                              Excellent for regulated industries<\/p>\n<\/li>\n

                                            • \n

                                              Built-in risk scoring across AI portfolio<\/p>\n<\/li>\n

                                            • \n

                                              Good documentation and audit capabilities<\/p>\n<\/li>\n<\/ul>\n

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

                                                \n
                                              • \n

                                                Custom implementations often require professional services<\/p>\n<\/li>\n

                                              • \n

                                                Higher upfront commitment<\/p>\n<\/li>\n<\/ul>\n

                                                Pricing Insight (2025)<\/strong>
                                                Enterprise license pricing typically includes professional services and high-touch support.<\/p>\n

                                                Keyword focus:<\/strong> enterprise AI governance and risk management pricing<\/p>\n

                                                \n

                                                Detailed Pricing Comparison (Buy vs Subscription)<\/h2>\n

                                                Here\u2019s how pricing compares across the major models in 2025:<\/p>\n

                                                \n
                                                \n\n\n\n\n\n\n\n\n\n\n
                                                Platform<\/strong><\/th>\nSubscription<\/strong><\/th>\nPerpetual License (Buy)<\/strong><\/th>\nBest Fit<\/strong><\/th>\n<\/tr>\n<\/thead>\n
                                                IBM Watson AI Governance<\/td>\nYes (enterprise tier)<\/td>\nYes<\/td>\nLarge regulated enterprises<\/td>\n<\/tr>\n
                                                Microsoft Responsible AI<\/td>\nYes (usage)<\/td>\nNo<\/td>\nAzure-centric orgs<\/td>\n<\/tr>\n
                                                Google Cloud AI Governance<\/td>\nYes (usage)<\/td>\nNo<\/td>\nGCP-focused deployments<\/td>\n<\/tr>\n
                                                Fiddler AI<\/td>\nTiered subscription<\/td>\nNo<\/td>\nExplainability + bias first<\/td>\n<\/tr>\n
                                                Credo AI<\/td>\nSubscription\/Custom<\/td>\nPossible<\/td>\nCompliance automation<\/td>\n<\/tr>\n
                                                Holistic AI<\/td>\nCustom subscription<\/td>\nYes<\/td>\nGlobal compliance stacks<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

                                                Typical Enterprise Pricing (2025)<\/h3>\n

                                                Subscription Models<\/strong><\/p>\n

                                                  \n
                                                • \n

                                                  Entry: $50,000 \u2013 $120,000\/year<\/p>\n<\/li>\n

                                                • \n

                                                  Mid-Tier: $120,000 \u2013 $300,000\/year<\/p>\n<\/li>\n

                                                • \n

                                                  Full Enterprise: $300,000 \u2013 $800,000+\/year<\/p>\n<\/li>\n<\/ul>\n

                                                  Perpetual License Models<\/strong><\/p>\n

                                                    \n
                                                  • \n

                                                    Base perpetual purchase: $300,000 \u2013 $700,000+<\/p>\n<\/li>\n

                                                  • \n

                                                    Annual maintenance\/support: 15\u201325% of license value<\/p>\n<\/li>\n<\/ul>\n

                                                    Keyword focus:<\/strong> enterprise AI governance platform pricing comparison<\/p>\n

                                                    \n

                                                    Choosing the Right Solution for Your Organization<\/h2>\n

                                                    When comparing tools and pricing, ask these questions:<\/p>\n

                                                    1. What is your regulatory exposure?<\/h3>\n

                                                    If you operate in EU markets, alignment with the EU AI Act and GDPR is essential. Certain tools have stronger compliance workflows out of the box.<\/p>\n

                                                    Keyword:<\/strong> EU AI Act compliance tools for enterprises<\/p>\n

                                                    2. Are you cloud-centric or hybrid?<\/h3>\n

                                                    If your AI stack is tied to specific cloud providers (Azure or GCP), native governance tools may reduce integration complexity.<\/p>\n

                                                    Keyword:<\/strong> cloud AI governance tools comparison<\/p>\n

                                                    3. Do you need deep explainability or compliance automation?<\/h3>\n

                                                    Some tools excel at bias detection and explainability, while others focus more on policy enforcement and audit readiness.<\/p>\n

                                                    Keyword:<\/strong> AI explainability and compliance comparison for enterprises<\/p>\n

                                                    4. How many models and agents will you govern?<\/h3>\n

                                                    Subscription pricing often scales with usage; evaluate the number of assets and compliance actions you anticipate.<\/p>\n

                                                    Keyword:<\/strong> enterprise AI governance pricing per model<\/p>\n

                                                    \n

                                                    Enterprise Case Studies (Hypothetical)<\/h2>\n

                                                    Case A \u2014 Global FinTech Company<\/h3>\n
                                                      \n
                                                    • \n

                                                      Need:<\/strong> Full compliance with EU AI Act and real-time governance<\/p>\n<\/li>\n

                                                    • \n

                                                      Solution:<\/strong> IBM Watson AI Governance Suite with custom enterprise license<\/p>\n<\/li>\n

                                                    • \n

                                                      Pricing:<\/strong> ~$650,000 initial + annual support<\/p>\n<\/li>\n

                                                    • \n

                                                      Result:<\/strong> Comprehensive audit readiness and automated regulatory reporting<\/p>\n<\/li>\n<\/ul>\n

                                                      Keyword:<\/strong> AI governance tools for financial services<\/p>\n

                                                      Case B \u2014 Azure-First Retailer<\/h3>\n
                                                        \n
                                                      • \n

                                                        Need:<\/strong> Integrated governance with existing Azure AI workflows<\/p>\n<\/li>\n

                                                      • \n

                                                        Solution:<\/strong> Microsoft Responsible AI subscription<\/p>\n<\/li>\n

                                                      • \n

                                                        Pricing:<\/strong> ~$180,000\/year<\/p>\n<\/li>\n

                                                      • \n

                                                        Result:<\/strong> Unified governance dashboards and seamless compliance workflows<\/p>\n<\/li>\n<\/ul>\n

                                                        Keyword:<\/strong> Azure AI governance subscription cost<\/p>\n

                                                        Case C \u2014 Tech Startup Scaling AI<\/h3>\n
                                                          \n
                                                        • \n

                                                          Need:<\/strong> Explainability and bias monitoring for AI products<\/p>\n<\/li>\n

                                                        • \n

                                                          Solution:<\/strong> Fiddler AI mid-tier subscription<\/p>\n<\/li>\n

                                                        • \n

                                                          Pricing:<\/strong> ~$90,000\/year<\/p>\n<\/li>\n

                                                        • \n

                                                          Result:<\/strong> Proactive bias detection and model safety reporting<\/p>\n<\/li>\n<\/ul>\n

                                                          Keyword:<\/strong> AI explainability tools subscription pricing<\/p>\n

                                                          \n

                                                          Emerging Trends in Enterprise AI Governance (2025)<\/h2>\n
                                                            \n
                                                          1. \n

                                                            AI-Assisted Governance Automation<\/strong> \u2014 Tools now use AI to generate compliance reports, identify risk anomalies, and recommend policy updates.
                                                            Keyword:<\/strong> AI assisted compliance tools for enterprises<\/p>\n<\/li>\n

                                                          2. \n

                                                            Usage-Based Pricing Models<\/strong> \u2014 Billing tied to compliance actions (e.g., model scans, policy enforcement) rather than seats, making pricing more consumption reflective.
                                                            Keyword:<\/strong> AI governance tools usage based pricing<\/p>\n<\/li>\n

                                                          3. \n

                                                            Unified Multi-Cloud Governance<\/strong> \u2014 Support for consistent governance rules across hybrid cloud environments.<\/p>\n<\/li>\n

                                                          4. \n

                                                            Industry-Specific Governance Templates<\/strong> \u2014 Ready-built compliance frameworks for healthcare, finance, insurance, and government sectors.<\/p>\n<\/li>\n<\/ol>\n

                                                            \n","protected":false},"excerpt":{"rendered":"

                                                            In 2025, enterprise AI governance and compliance has moved from optional IT oversight to an organizational imperative. As AI systems \u2014 including large language models, generative AI tools, and autonomous AI agents \u2014 are deeply embedded into enterprise operations, risk… <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-120","post","type-post","status-publish","format-standard","hentry","category-tech"],"_links":{"self":[{"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/posts\/120","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=120"}],"version-history":[{"count":2,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/posts\/120\/revisions"}],"predecessor-version":[{"id":128,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=\/wp\/v2\/posts\/120\/revisions\/128"}],"wp:attachment":[{"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=120"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=120"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/d917.daikinvina.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=120"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}