{"id":58233,"date":"2025-12-25T19:57:01","date_gmt":"2025-12-25T19:57:01","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58233"},"modified":"2026-01-18T19:58:56","modified_gmt":"2026-01-18T19:58:56","slug":"top-10-prompt-security-guardrail-tools-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-prompt-security-guardrail-tools-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Prompt Security & Guardrail Tools: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

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

Prompt Security & Guardrail Tools are specialized platforms designed to protect, control, and govern interactions with large language models (LLMs)<\/strong>. As organizations rapidly adopt generative AI for chatbots, copilots, search, analytics, and automation, prompts and model outputs have become a new attack surface<\/strong>. Prompt injection, data leakage, hallucinations, policy violations, and unsafe outputs can lead to serious legal, financial, and reputational risks.<\/p>\n\n\n\n

These tools act as protective layers around AI systems<\/strong>, enforcing rules before and after a model generates responses. They inspect user inputs, system prompts, retrieved context, and model outputs to ensure compliance with security, privacy, and ethical standards. In real-world deployments, they help prevent sensitive data exposure, block malicious instructions, reduce hallucinations, and maintain consistent AI behavior at scale.<\/p>\n\n\n\n

When evaluating Prompt Security & Guardrail Tools, buyers should look for policy flexibility, real-time enforcement, integration with LLM providers, performance overhead, auditability, and compliance readiness<\/strong>. The right solution depends on how critical AI is to your business workflows and how much control you need.<\/p>\n\n\n\n

Best for:<\/strong>
AI product teams, enterprises deploying customer-facing LLMs, regulated industries, platform engineers, security teams, and SaaS companies embedding generative AI into core products.<\/p>\n\n\n\n

Not ideal for:<\/strong>
Individual hobby projects, offline experimentation, or low-risk internal prototypes where lightweight prompt rules or manual reviews may be sufficient.<\/p>\n\n\n\n

\n\n\n\n

Top 10 Prompt Security & Guardrail Tools<\/h2>\n\n\n\n
\n\n\n\n

1 \u2014 Guardrails AI<\/strong><\/h3>\n\n\n\n

Short description:<\/strong>
A widely adopted open and enterprise-ready framework for defining structured rules, validations, and constraints around LLM inputs and outputs.<\/p>\n\n\n\n

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

    \n
  • Declarative guardrail definitions for prompts and responses<\/li>\n\n\n\n
  • Output schema validation (JSON, XML, structured text)<\/li>\n\n\n\n
  • Hallucination detection and correction workflows<\/li>\n\n\n\n
  • Integration with major LLM providers<\/li>\n\n\n\n
  • Custom rule authoring with Python<\/li>\n\n\n\n
  • Pre- and post-generation checks<\/li>\n\n\n\n
  • Extensible plugin ecosystem<\/li>\n<\/ul>\n\n\n\n

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

      \n
    • Highly flexible and developer-friendly<\/li>\n\n\n\n
    • Strong community adoption and maturity<\/li>\n<\/ul>\n\n\n\n

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

        \n
      • Requires engineering effort to configure properly<\/li>\n\n\n\n
      • Advanced enterprise features need paid plans<\/li>\n<\/ul>\n\n\n\n

        Security & compliance:<\/strong>
        Encryption in transit, audit logging (enterprise), compliance varies by deployment.<\/p>\n\n\n\n

        Support & community:<\/strong>
        Strong documentation, active open-source community, enterprise support available.<\/p>\n\n\n\n

        \n\n\n\n

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

        Short description:<\/strong>
        An AI-native security platform focused on preventing prompt injection, data leakage, and malicious LLM usage.<\/p>\n\n\n\n

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

          \n
        • Real-time prompt injection detection<\/li>\n\n\n\n
        • Sensitive data leakage prevention<\/li>\n\n\n\n
        • LLM firewall capabilities<\/li>\n\n\n\n
        • Model-agnostic deployment<\/li>\n\n\n\n
        • Behavioral anomaly detection<\/li>\n\n\n\n
        • API-based enforcement layer<\/li>\n<\/ul>\n\n\n\n

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

            \n
          • Strong security-first design<\/li>\n\n\n\n
          • Minimal latency impact<\/li>\n<\/ul>\n\n\n\n

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

              \n
            • Less customizable for non-security use cases<\/li>\n\n\n\n
            • Limited open-source tooling<\/li>\n<\/ul>\n\n\n\n

              Security & compliance:<\/strong>
              SOC 2, GDPR alignment, enterprise-grade logging.<\/p>\n\n\n\n

              Support & community:<\/strong>
              Enterprise onboarding, responsive support, smaller but focused user base.<\/p>\n\n\n\n

              \n\n\n\n

              3 \u2014 Protect AI<\/strong><\/h3>\n\n\n\n

              Short description:<\/strong>
              A comprehensive AI security platform addressing model, data, and prompt-level risks across the ML lifecycle.<\/p>\n\n\n\n

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

                \n
              • Prompt and input sanitization<\/li>\n\n\n\n
              • Model risk assessment tools<\/li>\n\n\n\n
              • AI threat detection<\/li>\n\n\n\n
              • Policy-based enforcement<\/li>\n\n\n\n
              • Supply-chain security for ML assets<\/li>\n\n\n\n
              • Centralized security dashboards<\/li>\n<\/ul>\n\n\n\n

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

                  \n
                • Broad coverage beyond just prompts<\/li>\n\n\n\n
                • Enterprise-ready governance features<\/li>\n<\/ul>\n\n\n\n

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

                    \n
                  • More complex than prompt-only tools<\/li>\n\n\n\n
                  • Higher cost for full platform usage<\/li>\n<\/ul>\n\n\n\n

                    Security & compliance:<\/strong>
                    SOC 2, enterprise IAM, audit logs.<\/p>\n\n\n\n

                    Support & community:<\/strong>
                    Strong enterprise support, professional services available.<\/p>\n\n\n\n

                    \n\n\n\n

                    4 \u2014 OpenAI \u2014 Moderation & Safety Controls<\/strong><\/h3>\n\n\n\n

                    Short description:<\/strong>
                    Built-in moderation and safety tooling designed to filter unsafe or policy-violating AI inputs and outputs.<\/p>\n\n\n\n

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

                      \n
                    • Content moderation models<\/li>\n\n\n\n
                    • Policy-based output filtering<\/li>\n\n\n\n
                    • Abuse and misuse detection<\/li>\n\n\n\n
                    • Integrated safety classifications<\/li>\n\n\n\n
                    • Scalable API enforcement<\/li>\n<\/ul>\n\n\n\n

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

                        \n
                      • Native integration with OpenAI models<\/li>\n\n\n\n
                      • Continuously updated safety policies<\/li>\n<\/ul>\n\n\n\n

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

                          \n
                        • Limited customization<\/li>\n\n\n\n
                        • Tied to a single provider ecosystem<\/li>\n<\/ul>\n\n\n\n

                          Security & compliance:<\/strong>
                          SOC 2, GDPR, enterprise security standards.<\/p>\n\n\n\n

                          Support & community:<\/strong>
                          Extensive documentation, large developer ecosystem.<\/p>\n\n\n\n

                          \n\n\n\n

                          5 \u2014 Microsoft Azure AI Content Safety<\/strong><\/h3>\n\n\n\n

                          Short description:<\/strong>
                          Enterprise-grade content filtering and safety controls designed for production AI systems on Azure.<\/p>\n\n\n\n

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

                            \n
                          • Prompt and output filtering<\/li>\n\n\n\n
                          • Toxicity, hate, and violence detection<\/li>\n\n\n\n
                          • Enterprise policy management<\/li>\n\n\n\n
                          • Integration with Azure AI services<\/li>\n\n\n\n
                          • Regional compliance support<\/li>\n<\/ul>\n\n\n\n

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

                              \n
                            • Strong enterprise governance<\/li>\n\n\n\n
                            • Seamless Azure ecosystem integration<\/li>\n<\/ul>\n\n\n\n

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

                                \n
                              • Best suited for Azure users<\/li>\n\n\n\n
                              • Less flexible outside Microsoft stack<\/li>\n<\/ul>\n\n\n\n

                                Security & compliance:<\/strong>
                                SOC, ISO, GDPR, HIPAA-ready.<\/p>\n\n\n\n

                                Support & community:<\/strong>
                                Enterprise support, detailed documentation.<\/p>\n\n\n\n

                                \n\n\n\n

                                6 \u2014 Anthropic \u2014 Constitutional AI Controls<\/strong><\/h3>\n\n\n\n

                                Short description:<\/strong>
                                A safety-first approach that embeds ethical and policy-based guardrails directly into model behavior.<\/p>\n\n\n\n

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

                                  \n
                                • Constitutional AI alignment<\/li>\n\n\n\n
                                • Built-in refusal and safety reasoning<\/li>\n\n\n\n
                                • Reduced hallucination risk<\/li>\n\n\n\n
                                • Transparent safety principles<\/li>\n\n\n\n
                                • Model-level safety enforcement<\/li>\n<\/ul>\n\n\n\n

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

                                    \n
                                  • Strong alignment and safety guarantees<\/li>\n\n\n\n
                                  • Minimal external tooling required<\/li>\n<\/ul>\n\n\n\n

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

                                      \n
                                    • Limited customization<\/li>\n\n\n\n
                                    • Model-specific approach<\/li>\n<\/ul>\n\n\n\n

                                      Security & compliance:<\/strong>
                                      Enterprise-grade security, compliance varies.<\/p>\n\n\n\n

                                      Support & community:<\/strong>
                                      Growing enterprise adoption, clear documentation.<\/p>\n\n\n\n

                                      \n\n\n\n

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

                                      Short description:<\/strong>
                                      A lightweight, focused tool designed to detect and block prompt injection attacks in real time.<\/p>\n\n\n\n

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

                                        \n
                                      • Prompt injection detection<\/li>\n\n\n\n
                                      • Canaries and trap prompts<\/li>\n\n\n\n
                                      • Low-latency enforcement<\/li>\n\n\n\n
                                      • Simple API integration<\/li>\n\n\n\n
                                      • Model-agnostic design<\/li>\n<\/ul>\n\n\n\n

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

                                          \n
                                        • Easy to deploy<\/li>\n\n\n\n
                                        • Focused and efficient<\/li>\n<\/ul>\n\n\n\n

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

                                            \n
                                          • Narrow scope<\/li>\n\n\n\n
                                          • Not a full governance solution<\/li>\n<\/ul>\n\n\n\n

                                            Security & compliance:<\/strong>
                                            Varies \/ N\/A.<\/p>\n\n\n\n

                                            Support & community:<\/strong>
                                            Good documentation, smaller community.<\/p>\n\n\n\n

                                            \n\n\n\n

                                            8 \u2014 WhyLabs \u2014 AI Guardrails<\/strong><\/h3>\n\n\n\n

                                            Short description:<\/strong>
                                            An observability-driven platform that monitors LLM behavior and enforces safety rules over time.<\/p>\n\n\n\n

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

                                              \n
                                            • Output drift detection<\/li>\n\n\n\n
                                            • Policy-based alerts<\/li>\n\n\n\n
                                            • Data and prompt monitoring<\/li>\n\n\n\n
                                            • Explainability dashboards<\/li>\n\n\n\n
                                            • Continuous evaluation<\/li>\n<\/ul>\n\n\n\n

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

                                                \n
                                              • Strong monitoring and analytics<\/li>\n\n\n\n
                                              • Great for long-term reliability<\/li>\n<\/ul>\n\n\n\n

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

                                                  \n
                                                • Less real-time blocking<\/li>\n\n\n\n
                                                • Setup complexity<\/li>\n<\/ul>\n\n\n\n

                                                  Security & compliance:<\/strong>
                                                  SOC 2, enterprise IAM.<\/p>\n\n\n\n

                                                  Support & community:<\/strong>
                                                  Strong enterprise support, active user base.<\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  9 \u2014 LangChain \u2014 Guardrails & Validators<\/strong><\/h3>\n\n\n\n

                                                  Short description:<\/strong>
                                                  Developer-focused guardrail utilities embedded within a popular LLM application framework.<\/p>\n\n\n\n

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

                                                    \n
                                                  • Output validators<\/li>\n\n\n\n
                                                  • Prompt templates with constraints<\/li>\n\n\n\n
                                                  • Tool and agent safety checks<\/li>\n\n\n\n
                                                  • Modular integration<\/li>\n\n\n\n
                                                  • Rapid prototyping support<\/li>\n<\/ul>\n\n\n\n

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

                                                      \n
                                                    • Excellent developer experience<\/li>\n\n\n\n
                                                    • Tight integration with LLM workflows<\/li>\n<\/ul>\n\n\n\n

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

                                                        \n
                                                      • Not enterprise governance-focused<\/li>\n\n\n\n
                                                      • Requires custom security design<\/li>\n<\/ul>\n\n\n\n

                                                        Security & compliance:<\/strong>
                                                        Varies \/ N\/A.<\/p>\n\n\n\n

                                                        Support & community:<\/strong>
                                                        Large open-source community, extensive examples.<\/p>\n\n\n\n

                                                        \n\n\n\n

                                                        10 \u2014 Pangea \u2014 AI Guard<\/strong><\/h3>\n\n\n\n

                                                        Short description:<\/strong>
                                                        A security platform offering modular AI safety APIs, including prompt and response protection.<\/p>\n\n\n\n

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

                                                          \n
                                                        • Prompt inspection APIs<\/li>\n\n\n\n
                                                        • Policy-based blocking<\/li>\n\n\n\n
                                                        • Sensitive data redaction<\/li>\n\n\n\n
                                                        • Centralized security controls<\/li>\n\n\n\n
                                                        • Developer-first integration<\/li>\n<\/ul>\n\n\n\n

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

                                                            \n
                                                          • Clean API design<\/li>\n\n\n\n
                                                          • Fits modern security stacks<\/li>\n<\/ul>\n\n\n\n

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

                                                              \n
                                                            • Less mature ecosystem<\/li>\n\n\n\n
                                                            • Smaller community<\/li>\n<\/ul>\n\n\n\n

                                                              Security & compliance:<\/strong>
                                                              SOC 2, enterprise security standards.<\/p>\n\n\n\n

                                                              Support & community:<\/strong>
                                                              Good documentation, responsive support.<\/p>\n\n\n\n

                                                              \n\n\n\n

                                                              Comparison Table<\/h2>\n\n\n\n
                                                              Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                              Guardrails AI<\/td>Developers & platforms<\/td>Multi-cloud<\/td>Structured output validation<\/td>N\/A<\/td><\/tr>
                                                              Lakera<\/td>Security-first teams<\/td>Cloud & API<\/td>Prompt injection defense<\/td>N\/A<\/td><\/tr>
                                                              Protect AI<\/td>Enterprises<\/td>Cloud & on-prem<\/td>End-to-end AI security<\/td>N\/A<\/td><\/tr>
                                                              OpenAI Safety<\/td>OpenAI users<\/td>Cloud<\/td>Native moderation models<\/td>N\/A<\/td><\/tr>
                                                              Azure AI Content Safety<\/td>Regulated enterprises<\/td>Azure<\/td>Compliance-ready controls<\/td>N\/A<\/td><\/tr>
                                                              Anthropic Controls<\/td>Safety-critical apps<\/td>Cloud<\/td>Constitutional AI<\/td>N\/A<\/td><\/tr>
                                                              Rebuff<\/td>Lightweight security<\/td>API<\/td>Injection detection<\/td>N\/A<\/td><\/tr>
                                                              WhyLabs Guardrails<\/td>Reliability teams<\/td>Cloud<\/td>Drift & anomaly monitoring<\/td>N\/A<\/td><\/tr>
                                                              LangChain Validators<\/td>Builders & startups<\/td>Any<\/td>Developer flexibility<\/td>N\/A<\/td><\/tr>
                                                              Pangea AI Guard<\/td>Security engineers<\/td>Cloud<\/td>Modular AI security APIs<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Evaluation & Scoring of Prompt Security & Guardrail Tools<\/h2>\n\n\n\n
                                                              Criteria<\/th>Weight<\/th>Avg Score<\/th><\/tr><\/thead>
                                                              Core features<\/td>25%<\/td>High<\/td><\/tr>
                                                              Ease of use<\/td>15%<\/td>Medium<\/td><\/tr>
                                                              Integrations & ecosystem<\/td>15%<\/td>Medium\u2013High<\/td><\/tr>
                                                              Security & compliance<\/td>10%<\/td>High<\/td><\/tr>
                                                              Performance & reliability<\/td>10%<\/td>High<\/td><\/tr>
                                                              Support & community<\/td>10%<\/td>Medium<\/td><\/tr>
                                                              Price \/ value<\/td>15%<\/td>Medium<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Which Prompt Security & Guardrail Tool Is Right for You?<\/h2>\n\n\n\n
                                                                \n
                                                              • Solo users:<\/strong> Framework-based tools with simple validators and minimal overhead<\/li>\n\n\n\n
                                                              • SMBs:<\/strong> API-driven guardrails that balance cost and protection<\/li>\n\n\n\n
                                                              • Mid-market:<\/strong> Tools with monitoring, alerting, and moderate compliance<\/li>\n\n\n\n
                                                              • Enterprise:<\/strong> Full governance, audit logs, SSO, and compliance readiness<\/li>\n<\/ul>\n\n\n\n

                                                                Budget-conscious:<\/strong> Open-source or embedded framework options
                                                                Premium:<\/strong> Enterprise security platforms with SLA-backed support<\/p>\n\n\n\n

                                                                Feature depth vs ease of use:<\/strong><\/p>\n\n\n\n

                                                                  \n
                                                                • Developers favor flexibility<\/li>\n\n\n\n
                                                                • Enterprises prioritize control and auditability<\/li>\n<\/ul>\n\n\n\n

                                                                  Integration needs:<\/strong>
                                                                  Choose tools aligned with your LLM provider and deployment stack.<\/p>\n\n\n\n

                                                                  Security requirements:<\/strong>
                                                                  Regulated industries should prioritize compliance certifications and policy controls.<\/p>\n\n\n\n

                                                                  \n\n\n\n

                                                                  Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n

                                                                  1. What is prompt injection?<\/strong>
                                                                  A technique where users manipulate prompts to override system instructions or extract sensitive data.<\/p>\n\n\n\n

                                                                  2. Do all AI apps need guardrails?<\/strong>
                                                                  Not all, but any production or customer-facing AI should use them.<\/p>\n\n\n\n

                                                                  3. Can guardrails eliminate hallucinations completely?<\/strong>
                                                                  No, but they significantly reduce frequency and impact.<\/p>\n\n\n\n

                                                                  4. Are these tools model-specific?<\/strong>
                                                                  Many are model-agnostic, but some are tied to specific providers.<\/p>\n\n\n\n

                                                                  5. Do guardrails affect latency?<\/strong>
                                                                  Yes, but well-designed tools keep overhead minimal.<\/p>\n\n\n\n

                                                                  6. Can I build my own guardrails?<\/strong>
                                                                  Yes, but maintaining them at scale is challenging.<\/p>\n\n\n\n

                                                                  7. Are open-source tools safe for enterprise use?<\/strong>
                                                                  Yes, with proper governance and support plans.<\/p>\n\n\n\n

                                                                  8. How do these tools handle sensitive data?<\/strong>
                                                                  Through redaction, blocking, and policy enforcement.<\/p>\n\n\n\n

                                                                  9. Are guardrails the same as moderation?<\/strong>
                                                                  Moderation is one part; guardrails are broader and proactive.<\/p>\n\n\n\n

                                                                  10. What\u2019s the biggest mistake teams make?<\/strong>
                                                                  Treating guardrails as optional rather than foundational.<\/p>\n\n\n\n

                                                                  \n\n\n\n

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

                                                                  Prompt Security & Guardrail Tools have become essential infrastructure<\/strong> for deploying generative AI responsibly. They protect against misuse, reduce operational risk, and ensure AI systems behave consistently and safely in real-world environments.<\/p>\n\n\n\n

                                                                  The most important takeaway is that there is no universal \u201cbest\u201d tool<\/strong>. The right choice depends on your scale, risk tolerance, regulatory needs, and technical maturity. By carefully evaluating features, integrations, security posture, and long-term scalability, organizations can confidently harness AI while staying secure and compliant.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                  Introduction Prompt Security & Guardrail Tools are specialized platforms designed to protect, control, and govern interactions with large language models (LLMs). As organizations rapidly adopt generative AI for chatbots, copilots,… <\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[11138],"tags":[20440,23529,23533,23512,23532,23518,23514,23536,23531,23534,23528,23530,23520,23535],"class_list":["post-58233","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-ai-content-moderation","tag-ai-guardrails","tag-ai-policy-enforcement","tag-ai-risk-management","tag-ai-safety-platforms","tag-enterprise-ai-security","tag-generative-ai-security","tag-llm-guardrail-tools","tag-llm-security","tag-prompt-filtering-tools","tag-prompt-injection-prevention","tag-prompt-security-tools","tag-responsible-ai-tools","tag-secure-prompt-engineering"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58233","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=58233"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58233\/revisions"}],"predecessor-version":[{"id":58235,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58233\/revisions\/58235"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58233"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58233"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58233"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}