{"id":24706,"date":"2025-10-17T05:46:45","date_gmt":"2025-10-17T05:46:45","guid":{"rendered":"https:\/\/eluminoustechnologies.com\/blog\/?p=24706"},"modified":"2025-11-24T08:58:54","modified_gmt":"2025-11-24T08:58:54","slug":"ai-powered-development-security","status":"publish","type":"post","link":"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/","title":{"rendered":"Making AI-Powered Development Security Work for You"},"content":{"rendered":"<p>In the rush to adopt AI, many teams focus on speed and innovation. But often, security takes a back seat. The reality is stark: AI systems, by their very nature, introduce new weaknesses. From sensitive data leaks to model manipulation, the risks are real and growing.<\/p>\n<p>This guide is about AI-powered development security. You&#8217;ll find actionable ways to implement some of the most practical activities. After going through the blog, you&#8217;ll learn how to identify risks, integrate security into your <a href=\"https:\/\/www.ibm.com\/think\/topics\/ai-workflow\" target=\"_blank\" rel=\"nofollow noopener\">AI workflows<\/a>, and build resilient systems.<\/p>\n<p>Think of this blog as a roadmap for building AI responsibly. By the end, you\u2019ll see that securing AI is in fact a deliberate approach.<\/p>\n<div class=\"box-inner\">\n<p>From RAG to auto test scripts and more, our AI developers are equipped to assist you.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/contact\/\" target=\"_blank\" rel=\"noopener\">Connect to Automate<\/a><\/p>\n<\/div>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#understanding-security-challenges-in-ai-development\" >Understanding Security Challenges in AI Development<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#building-security-into-the-ai-lifecycle\" >Building Security into the AI Lifecycle<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#data-security-and-privacy-in-ai-systems\" >Data Security and Privacy in AI Systems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#threat-mitigation-strategies-for-ai-powered-development-security\" >Threat Mitigation Strategies for AI-Powered Development Security<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#real-world-case-studies-in-ai-powered-development-security\" >Real-World Case Studies in AI-Powered Development Security<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#building-a-secure-future-for-ai-powered-development\" >Building a Secure Future for AI-Powered Development<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"#\" data-href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-powered-development-security\/#frequently-asked-questions\" >Frequently Asked Questions<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"understanding-security-challenges-in-ai-development\"><\/span>Understanding Security Challenges in AI Development<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24710 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?lossy=2&strip=1&webp=1\" alt=\"Understanding Security Challenges in AI Development\" width=\"900\" height=\"450\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development-300x150.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development-768x384.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?size=128x64&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?size=384x192&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?size=512x256&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Understanding-Security-Challenges-in-AI-Development.webp?size=640x320&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/450;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>AI doesn&#8217;t break like traditional software. It&#8217;s vulnerable, and attackers can manipulate it.<\/p>\n<p>Get this \u2013 the attack surface of an AI system isn\u2019t limited to code. It extends to:<\/p>\n<ul>\n<li>Data<\/li>\n<li>Models<\/li>\n<li>APIs<\/li>\n<li>User behavior<\/li>\n<\/ul>\n<p>That\u2019s what makes securing artificial intelligence a complex task.<\/p>\n<p>So, you should first be wary of the most common security blind spots in <a href=\"https:\/\/eluminoustechnologies.com\/ai-software-development-services\/\" target=\"_blank\" rel=\"noopener\">AI-powered development<\/a>.<\/p>\n<h3>Data Poisoning and Manipulation<\/h3>\n<p><a href=\"https:\/\/eluminoustechnologies.com\/case-studies\/machine-learning-for-efficient-industrial-marketplace\/\" target=\"_blank\" rel=\"noopener\">Machine learning<\/a> models are only as trustworthy as their training data. If attackers manage to inject malicious or misleading data into your datasets, your entire model can start producing unreliable outcomes.<\/p>\n<p><strong>Example:<\/strong> A fraud detection model trained with poisoned data might start labeling fraudulent transactions as safe.<\/p>\n<h3>Model Inversion and Extraction Attacks<\/h3>\n<p>These are like AI phishing attacks. Hackers query your model repeatedly until they can infer sensitive information about its training data. In some cases, they can even replicate the model itself.<\/p>\n<p>In sectors like healthcare or finance, this threat could mean leaking personal or confidential information through model outputs.<\/p>\n<div class=\"box-inner\">\n<p>Need to boost your front-end? Our blog enlists the threats and mitigation tactics.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/blog\/ai-software-testing-tools\/\" target=\"_blank\" rel=\"noopener\">Read How to Secure Your Front-end<\/a><\/p>\n<\/div>\n<h3>Adversarial Inputs<\/h3>\n<p>An adversarial input is a slightly modified piece of data designed to trick the model. For instance, a few pixel tweaks in an image can cause an AI vision system to misclassify a stop sign as a speed-limit sign.<\/p>\n<p>This result is not great if you\u2019re building self-driving software.<\/p>\n<h3>Third-Party and Supply Chain Risks<\/h3>\n<p>Most AI systems rely on the following:<\/p>\n<ul>\n<li>Open-source libraries<\/li>\n<li>APIs<\/li>\n<li>Pre-trained models<\/li>\n<\/ul>\n<p>While these sources save time, they also inherit vulnerabilities from unknown contributors or outdated dependencies.<\/p>\n<p>Once you identify these risks early, you can design controls to prevent ruinous breaches later.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"building-security-into-the-ai-lifecycle\"><\/span>Building Security into the AI Lifecycle<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Most teams treat AI-powered development security like a final QA step. However, that\u2019s a dangerous approach.<\/p>\n<p>In reality, AI security has to live and breathe through every stage of your <a href=\"https:\/\/eluminoustechnologies.com\/blog\/application-development-life-cycle\/\" target=\"_blank\" rel=\"noopener\">development lifecycle<\/a>. Otherwise, you\u2019ll just chase vulnerabilities instead of preventing them.<\/p>\n<p>Here\u2019s how to embed security at every phase of your AI pipeline.<\/p>\n<h3>Secure Data Collection and Preparation<\/h3>\n<p>The AI lifecycle starts with data. Unfortunately, it also happens to be its weakest link. So, you should:<\/p>\n<ul>\n<li><strong>Validate data sources:<\/strong> Use verified, auditable data pipelines. Avoid scraping unverified datasets.<\/li>\n<li><strong>Apply encryption:<\/strong> Encrypt data both at rest and in transit. Mask personally identifiable information (PII) before it ever touches the model.<\/li>\n<li><strong>Implement access control:<\/strong> Only authorized roles should access raw datasets. You should rotate credentials regularly and use logging to monitor data interactions.<\/li>\n<\/ul>\n<p><strong>Pro tip:<\/strong> Incorporate privacy-preserving machine learning (ML) techniques to enhance data security and privacy. Using them, you can minimize data exposure during model training. Here&#8217;s <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/blog\/privacy-preserving-machine-learning-maintaining-confidentiality-and-preserving-trust\/\" target=\"_blank\" rel=\"nofollow noopener\">a good article to explore<\/a> if you want more details on this topic.<\/p>\n<h3>Model Training and Validation Security<\/h3>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24712 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?lossy=2&strip=1&webp=1\" alt=\"Model Training and Validation Security\" width=\"900\" height=\"450\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security-300x150.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security-768x384.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?size=128x64&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?size=384x192&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?size=512x256&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Model-Training-and-Validation-Security.webp?size=640x320&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/450;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>Simply put, AI systems inherit biases or hidden vulnerabilities during model training. Here&#8217;s how you secure AI-powered development at this stage:<\/p>\n<ul>\n<li><strong>Threat modeling:<\/strong> Identify potential attack vectors during model design (e.g., data poisoning, inversion, or backdoor attacks).<\/li>\n<li><strong>Sandbox your training environment:<\/strong> Use isolated environments or containers to prevent external interference.<\/li>\n<li><strong>Validation checkpoints:<\/strong> Continuously test the model during training to detect anomalies or drift that may indicate compromised data.<\/li>\n<\/ul>\n<p>All in all, if your model\u2019s learning process isn\u2019t secure, everything downstream inherits that weakness.<\/p>\n<h3>Secure Model Deployment<\/h3>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24713 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?lossy=2&strip=1&webp=1\" alt=\"Secure Model Deployment\" width=\"900\" height=\"450\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment-300x150.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment-768x384.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?size=128x64&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?size=384x192&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?size=512x256&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Secure-Model-Deployment.webp?size=640x320&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/450;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>Deploying an AI model is like opening a gate. Once it\u2019s live, it\u2019s a target. So, to <a href=\"https:\/\/eluminoustechnologies.com\/blog\/saas-security\/\" target=\"_blank\" rel=\"noopener\">boost security<\/a>, you can:<\/p>\n<ul>\n<li><strong>Use API gateways:<\/strong> Protect model endpoints with authentication, throttling, and encryption.<\/li>\n<li><strong>Monitor API traffic:<\/strong> Look for abnormal query patterns that may indicate an attempted extraction.<\/li>\n<li><strong>Harden the container:<\/strong> Regularly update dependencies and remove unused packages to minimize exposure.<\/li>\n<\/ul>\n<p>Also, you can implement a zero-trust architecture where every interaction requires validation.<\/p>\n<h3>Continuous Monitoring and MLOps Integration<\/h3>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24714 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?lossy=2&strip=1&webp=1\" alt=\"Continuous Monitoring and MLOps Integration\" width=\"900\" height=\"450\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration-300x150.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration-768x384.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?size=128x64&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?size=384x192&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?size=512x256&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Continuous-Monitoring-and-MLOps-Integration.webp?size=640x320&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/450;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>AI-powered development security shouldn\u2019t end at deployment. It should evolve as the model does.<\/p>\n<p>This is where MLOps security becomes crucial. You should:<\/p>\n<ul>\n<li>Automate retraining with verified data sources only.<\/li>\n<li>Monitor for data drift, performance drops, or unusual inputs.<\/li>\n<li>Integrate version control for both data and models to ensure safe rollbacks in the event of a breach.<\/li>\n<\/ul>\n<p>Overall, by embedding security controls directly into your MLOps pipeline, you turn security into a continuous process.<\/p>\n<div class=\"box-inner\">\n<p>MLOps is different than DevOps in many aspects. Read our guide that explains and compares the two concepts.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/blog\/mlops-vs-devops\/\" target=\"_blank\" rel=\"noopener\">Read MLOps vs DevOps<\/a><\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"data-security-and-privacy-in-ai-systems\"><\/span>Data Security and Privacy in AI Systems<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Every dataset an AI system touches has potential privacy, compliance, and ethical risks. A single mismanaged dataset can expose your entire reputation as an organization.<\/p>\n<p>So, you should form a secure data strategy in <a href=\"https:\/\/eluminoustechnologies.com\/ai-software-development-services\/\" target=\"_blank\" rel=\"noopener\">AI-powered development<\/a>. Here are the main steps to consider.<\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24715 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?lossy=2&strip=1&webp=1\" alt=\"Data Security and Privacy in AI Systems\" width=\"900\" height=\"523\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems-300x174.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems-768x446.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?size=128x74&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?size=384x223&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?size=512x298&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Data-Security-and-Privacy-in-AI-Systems.webp?size=640x372&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/523;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<h3>1. Protect Data at Every Touchpoint<\/h3>\n<p>From collection to training to inference, you should encrypt and anonymize data. Ensure you establish proper access controls as well. Consider the following practical tips:<\/p>\n<ul>\n<li><strong>Encryption:<\/strong> Use AES-256 or stronger encryption both at rest (storage) and in transit (APIs, network traffic).<\/li>\n<li><strong>Anonymization:<\/strong> Remove identifiers wherever possible.<\/li>\n<li><strong>Access Control:<\/strong> Implement role-based permissions and audit trails to monitor who interacts with the data.<\/li>\n<\/ul>\n<p><strong>Example:<\/strong> A healthcare AI model trained on anonymized data reduces re-identification risks while staying compliant with HIPAA or GDPR.<\/p>\n<h3>2. Adopt Privacy-Preserving Machine Learning (PPML)<\/h3>\n<p>Techniques under the PPML umbrella allow you to train or use <a href=\"https:\/\/eluminoustechnologies.com\/blog\/gemini-vs-chatgpt\/\" target=\"_blank\" rel=\"noopener\">AI models<\/a> without exposing raw data. Some powerful approaches include:<\/p>\n<ul>\n<li><strong>Federated Learning:<\/strong> You train models locally on devices. Then, you can aggregate them. This tactic ensures sensitive data never leaves the source.<\/li>\n<li><strong>Differential Privacy:<\/strong> In this technique, you should add controlled noise to datasets or model outputs. This method obscures individual data points without compromising patterns.<\/li>\n<li><strong>Homomorphic Encryption:<\/strong> This PPML tactic allows computation on encrypted data. So, even the model doesn\u2019t get in-depth access to the actual content all the time.<\/li>\n<\/ul>\n<p>These methods are quickly becoming the gold standard for AI-powered development, security, and protection in regulated industries.<\/p>\n<h3>3. Compliance and Governance<\/h3>\n<p>AI systems are increasingly under scrutiny from regulators, particularly in industries such as healthcare, finance, and education.<\/p>\n<p>So, a standard practice is to stay aligned with GDPR, CCPA, HIPAA, and ISO\/IEC 23894 regulations. Here are some additional pointers to consider:<\/p>\n<ul>\n<li>Conduct Data Protection Impact Assessments (DPIAs) before launching new AI products.<\/li>\n<li>Maintain an AI data governance framework.<\/li>\n<li>Track data lineage (origin, usage, and data purge)<\/li>\n<\/ul>\n<p>Without this step, you can\u2019t prove compliance or accountability.<\/p>\n<div class=\"box-inner\">\n<p>Speaking of compliance, the latest EU AI Act is here. Our blog covers all its crucial details.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/blog\/eu-ai-act-compliance\/\" target=\"_blank\" rel=\"noopener\">Read About the EU AI Act<\/a><\/p>\n<\/div>\n<h3>4. Human Oversight and Transparency<\/h3>\n<p>Security in AI is cultural. This aspect means you should develop an AI-ready work culture.<\/p>\n<ul>\n<li>Ensure developers, data scientists, and compliance officers work together with visibility into the full data lifecycle.<\/li>\n<li>Keep humans in the loop for sensitive decisions.<\/li>\n<li>Use explainable AI (XAI) models whenever possible, allowing you to justify outcomes during audits.<\/li>\n<\/ul>\n<p>Transparency strengthens user trust and reduces the impact of potential breaches.<\/p>\n<p>A secure AI ecosystem respects privacy by design, enforces compliance by default, and ensures no one oversteps its boundaries.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"threat-mitigation-strategies-for-ai-powered-development-security\"><\/span>Threat Mitigation Strategies for AI-Powered Development Security<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24716 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?lossy=2&strip=1&webp=1\" alt=\"Threat Mitigation Strategies for AI-Powered Development Security\" width=\"900\" height=\"523\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security-300x174.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security-768x446.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?size=128x74&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?size=384x223&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?size=512x298&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Threat-Mitigation-Strategies-for-AI-Powered-Development-Security.webp?size=640x372&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/523;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>Understanding risks is one thing; defending against them is another. Here\u2019s how you can strengthen your AI-powered development security with proven mitigation strategies.<\/p>\n<h3>1. Validate Inputs and Detect Anomalies<\/h3>\n<p>AI systems learn from data. But if the data is incorrect, they can falter. To prevent adversarial or malicious inputs, you should implement the following points:<\/p>\n<ul>\n<li>Use strict input validation rules across all endpoints.<\/li>\n<li>Integrate anomaly detection systems that flag outlier data patterns.<\/li>\n<li>Continuously retrain detection models with verified data to adapt to new attack types.<\/li>\n<\/ul>\n<p>This approach ensures your AI doesn\u2019t accept or act on tampered information.<\/p>\n<h3>2. Watermark and Monitor Models<\/h3>\n<p>Model theft and replication are rising threats in AI-powered development. To counter them:<\/p>\n<ul>\n<li>Add invisible watermarks or fingerprints to your model outputs.<\/li>\n<li>Track model usage and detect unauthorized API calls.<\/li>\n<li>Maintain version control and usage logs to quickly identify and trace potential leaks.<\/li>\n<\/ul>\n<p>Simply put, model watermarking strengthens overall AI security posture.<\/p>\n<h3>3. Secure API Keys and Endpoints<\/h3>\n<p>APIs are the front door to your AI models. This aspect also makes them prime targets for attack.<\/p>\n<p>To keep them secure:<\/p>\n<ul>\n<li>Rotate API keys regularly and avoid embedding them in client-side code to maintain security.<\/li>\n<li>Implement OAuth 2.0 or token-based authentication.<\/li>\n<li>Use rate limiting and throttling to block brute-force or model extraction attempts.<\/li>\n<\/ul>\n<p>All in all, your goal is to make unauthorized access practically impossible.<\/p>\n<div class=\"box-inner\">\n<p>Need help securing your APIs? Our team of 20+ QA Engineers is ready for your project.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/qa-and-software-testing-services\/\" target=\"_blank\" rel=\"noopener\">Get More Details<\/a><\/p>\n<\/div>\n<h3>4. Harden Your Infrastructure<\/h3>\n<p>Security isn\u2019t just about the model. It\u2019s also about where it lives. Here&#8217;s your action plan:<\/p>\n<ul>\n<li>Regularly patch servers and dependencies.<\/li>\n<li>Limit permissions in your cloud environment to follow the principle of least privilege.<\/li>\n<li>Use container scanning tools (like <a href=\"https:\/\/trivy.dev\/latest\/\" target=\"_blank\" rel=\"nofollow noopener\">Trivy<\/a> or <a href=\"https:\/\/clairproject.org\/\" target=\"_blank\" rel=\"nofollow noopener\">Clair<\/a>) to detect vulnerable packages early.<\/li>\n<\/ul>\n<p>Remember, a secure foundation makes every layer of your AI ecosystem more resilient.<\/p>\n<h3>5. Test, Audit, and Improve<\/h3>\n<p>AI security isn\u2019t static. You should constantly test your defences the way attackers would.<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Conduct regular penetration testing and red-teaming exercises.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li>Perform bias and vulnerability audits before every major release.<\/li>\n<li>Document and review incidents to strengthen future AI-powered development security strategies.<\/li>\n<\/ul>\n<p>Think of this as continuous improvement for your AI defences.<\/p>\n<div class=\"box-inner\">\n<p>Do you know the concept of code audit? Get detailed info about the types, focus areas, process, and more in this resource.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/blog\/code-audit\/\" target=\"_blank\" rel=\"noopener\">Understand Code Audit in Depth<\/a><\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"real-world-case-studies-in-ai-powered-development-security\"><\/span>Real-World Case Studies in AI-Powered Development Security<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>The best way to understand the importance of AI-powered development security is to see it in action. In this section, we&#8217;ll shed light on an interesting AI security study.<\/p>\n<h3>How Vercel Secured Its AI SDK Playground<\/h3>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24730 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?lossy=2&strip=1&webp=1\" alt=\"Know How Vercel Secured Its AI SDK Playground\" width=\"900\" height=\"523\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground-300x174.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground-768x446.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?size=128x74&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?size=384x223&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?size=512x298&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Know-How-Vercel-Secured-Its-AI-SDK-Playground.webp?size=640x372&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/523;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>Vercel\u2019s AI SDK Playground, designed to help developers test and integrate AI models, experienced a surge in malicious activity shortly after its launch. The open interface made it an easy target for bot abuse, prompt injection, and Denial-of-Service (DoS) attacks.<\/p>\n<p>At one point, 84% of <a href=\"https:\/\/vercel.com\/\" target=\"_blank\" rel=\"nofollow noopener\">Vercel\u2019s<\/a> traffic was automated bot traffic. A huge cause of concern, right?<\/p>\n<p>To regain control, they partnered with <a href=\"https:\/\/www.kasada.io\/\" target=\"_blank\" rel=\"nofollow noopener\">Kasada<\/a>, a cybersecurity firm specializing in AI application security. Together, they implemented:<\/p>\n<ul>\n<li>Advanced bot detection and filtering<\/li>\n<li>Strict rate limiting on API endpoints<\/li>\n<li>Prompt injection detection<\/li>\n<li>Enhanced authentication mechanisms<\/li>\n<\/ul>\n<p>The result? A massive drop in malicious traffic and a measurable improvement in application stability and response time.<\/p>\n<p>This case proves that securing the entry points of AI systems is as critical as protecting data or models. Without these defences, even the smartest AI can be brought to its knees. You can <a href=\"https:\/\/www.kasada.io\/defending-ai-apps\/\" target=\"_blank\" rel=\"nofollow noopener\">read this intriguing case study<\/a> to dig deeper.<\/p>\n<h3>Microsoft EchoLeak Incident: A Lesson in AI-Powered Development Security<\/h3>\n<p><img decoding=\"async\" class=\"alignnone wp-image-24731 size-full lazyload\" data-src=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?lossy=2&strip=1&webp=1\" alt=\"Microsoft EchoLeak Incident- Lesson in AI-Powered Development Security\" width=\"900\" height=\"523\" title=\"\" data-srcset=\"https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?lossy=2&strip=1&webp=1 900w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security-300x174.webp?lossy=2&strip=1&webp=1 300w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security-768x446.webp?lossy=2&strip=1&webp=1 768w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?size=128x74&lossy=2&strip=1&webp=1 128w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?size=384x223&lossy=2&strip=1&webp=1 384w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?size=512x298&lossy=2&strip=1&webp=1 512w, https:\/\/b4130876.smushcdn.com\/4130876\/wp-content\/uploads\/2025\/10\/Microsoft-EchoLeak-Incident-Lesson-in-AI-Powered-Development-Security.webp?size=640x372&lossy=2&strip=1&webp=1 640w\" data-sizes=\"auto\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 900px; --smush-placeholder-aspect-ratio: 900\/523;\" data-original-sizes=\"(max-width: 900px) 100vw, 900px\" \/><\/p>\n<p>In 2025, a vulnerability named EchoLeak (CVE-2025-32711) rocked the enterprise AI world. Researchers discovered a zero-click prompt injection exploit in <a href=\"https:\/\/www.microsoft.com\/en-in\/microsoft-365-copilot\" target=\"_blank\" rel=\"nofollow noopener\">Microsoft 365 Copilot<\/a>. Here, attackers could send a single malicious email that silently triggered Copilot to leak sensitive internal data.<\/p>\n<p>The attack slipped through multiple layers of Microsoft\u2019s defenses, including their XPIA classifier and link-redaction systems. In short, the exploit used the AI\u2019s own logic against itself.<\/p>\n<p>Here\u2019s why this incident is a wake-up call for anyone building AI systems:<\/p>\n<ul>\n<li>AI doesn\u2019t just process data; it interprets instructions. Even a harmless-looking email can become a vector for malicious prompts.<\/li>\n<li>Security in AI isn\u2019t about hardening endpoints alone.<\/li>\n<\/ul>\n<p>The more integrated your AI becomes with <a href=\"https:\/\/eluminoustechnologies.com\/blog\/software-development-project-management-tools\/\" target=\"_blank\" rel=\"noopener\">enterprise data and tools<\/a>, the greater your exposure. <a href=\"https:\/\/arxiv.org\/abs\/2509.10540\" target=\"_blank\" rel=\"nofollow noopener\">Here&#8217;s the link<\/a> to this incident.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"building-a-secure-future-for-ai-powered-development\"><\/span>Building a Secure Future for AI-Powered Development<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>AI is no longer just a tool; it has become a core part of modern software development. With that power comes responsibility. As we\u2019ve seen through real-world examples (from Vercel\u2019s AI SDK<\/p>\n<p>Playground to Microsoft\u2019s EchoLeak incident), security gaps in AI workflows can have far-reaching consequences.<\/p>\n<p>The key takeaway is straightforward: AI-powered development security must be a vital facet of the AI lifecycle. From collecting and validating data, training and testing models, to deploying and monitoring them in production, security must be deliberate, continuous, and proactive.<\/p>\n<p>By embedding strong security practices, monitoring intelligently, and learning from real incidents, you can use AI confidently. For professional-grade assistance, you can always <a href=\"https:\/\/eluminoustechnologies.com\/ai-software-development-services\/\" target=\"_blank\" rel=\"noopener\">explore our AI development services<\/a> and hire our experts.<\/p>\n<div class=\"box-inner\">\n<p>Over two decades, we&#8217;ve tested 250+ projects. Now, with AI on the rise, we have a dedicated team of 15+ AI developers ready to augment your staff.<\/p>\n<p><a class=\"btn\" href=\"https:\/\/eluminoustechnologies.com\/contact\/\" target=\"_blank\" rel=\"noopener\">Book Your Slot to Know More<\/a><\/p>\n<\/div>\n<h2><span class=\"ez-toc-section\" id=\"frequently-asked-questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3>1. What is AI-powered development security?<\/h3>\n<p>It\u2019s the practice of protecting AI systems at every stage against attacks and vulnerabilities. This strategy ensures your AI remains safe, reliable, and compliant.<\/p>\n<h3>2. Why is securing AI-powered development important?<\/h3>\n<p>AI systems handle sensitive data and make critical decisions. They are an attractive target for attacks. Proper security prevents breaches, protects intellectual property, and keeps users\u2019 trust.<\/p>\n<h3>3. What are common threats to AI-powered systems?<\/h3>\n<p>The most prominent AI threats are data poisoning, model theft, adversarial inputs, and API vulnerabilities. You should identify these early and embed security throughout the AI lifecycle.<\/p>\n<h3>4. How can I implement AI-powered development security in my projects?<\/h3>\n<p>Integrate security at every stage: secure data, encrypt models, validate inputs, and monitor deployed systems. Remember, continuous vigilance turns security from a checklist into an ongoing practice.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the rush to adopt AI, many teams focus on speed and innovation. But often, security takes a back seat. The reality is stark: AI&#8230;<\/p>\n","protected":false},"author":89,"featured_media":24709,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[974],"tags":[995,1353,1354],"class_list":["post-24706","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-ai","tag-ai-powered-development-security","tag-development-security"],"acf":[],"_links":{"self":[{"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/posts\/24706","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/users\/89"}],"replies":[{"embeddable":true,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/comments?post=24706"}],"version-history":[{"count":9,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/posts\/24706\/revisions"}],"predecessor-version":[{"id":25057,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/posts\/24706\/revisions\/25057"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/media\/24709"}],"wp:attachment":[{"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/media?parent=24706"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/categories?post=24706"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eluminoustechnologies.com\/blog\/wp-json\/wp\/v2\/tags?post=24706"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}