{"id":16225,"date":"2025-04-29T23:03:22","date_gmt":"2025-04-30T03:03:22","guid":{"rendered":"https:\/\/ptp.cloud\/?p=16225"},"modified":"2025-07-22T00:29:05","modified_gmt":"2025-07-22T04:29:05","slug":"ai-safe-biotech-data-pipelines-aws","status":"publish","type":"post","link":"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/","title":{"rendered":"Secure, AI-Ready Cloud Pipelines for Biotech: Lessons from Bio-IT World 2025"},"content":{"rendered":"[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;4.16&#8243; da_disable_devices=&#8221;off|off|off&#8221; global_colors_info=&#8221;{}&#8221; da_is_popup=&#8221;off&#8221; da_exit_intent=&#8221;off&#8221; da_has_close=&#8221;on&#8221; da_alt_close=&#8221;off&#8221; da_dark_close=&#8221;off&#8221; da_not_modal=&#8221;on&#8221; da_is_singular=&#8221;off&#8221; da_with_loader=&#8221;off&#8221; da_has_shadow=&#8221;on&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;4.16&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;]\n<article><!-- [et_pb_line_break_holder] -->  <pee><!-- [et_pb_line_break_holder] -->    <a href=\"https:\/\/www.youtube.com\/watch?v=E25CYlJtLBA&#038;t=162s\" target=\"_blank\" rel=\"noopener noreferrer\"><!-- [et_pb_line_break_holder] -->      <img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/04\/ai-and-ml-on-aws-building-for-gxp-validated-environments-cover-photo.jpg\" alt=\"managed IT services for life sciences using AI and ML in AWS \u2013 Bio-IT World 2025 presentation cover image\" width=\"1920\" height=\"1080\" \/><!-- [et_pb_line_break_holder] -->    <\/a><!-- [et_pb_line_break_holder] -->  <\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>April 3, 2025 | Bio-IT World Conference &#038; Expo | Boston, MA<\/strong><\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>Biotech organizations are accelerating adoption of AI and machine learning (ML) to drive breakthroughs\u2014but that brings critical challenges in data integrity, compliance, and infrastructure. At <a href=\"https:\/\/ptp.cloud\/ptp-at-bioit-world-2025\/\" target=\"_blank\" rel=\"noopener noreferrer\">Bio-IT World 2025<\/a>, Aaron Jeskey, Principal Cloud Architect at PTP, presented a session on building secure, AI-ready cloud pipelines using AWS\u2014tailored for life sciences teams operating in regulated environments.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>As an <a href=\"https:\/\/aws.amazon.com\/partners\/find\/partnerdetails\/?n=PTP&#038;id=0014T00001H2UgCQAV\" target=\"_blank\" rel=\"noopener noreferrer\">AWS Life Sciences Competency Partner<\/a>, PTP supports secure AWS environments built to meet 21 CFR Part 11, HIPAA, and <a href=\"https:\/\/csrc.nist.gov\/publications\/detail\/sp\/800-53\/rev-5\/final\" target=\"_blank\" rel=\"noopener noreferrer\">NIST 800-53<\/a>\u2014ensuring traceability, reproducibility, and security across machine learning pipelines in biotech.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div style=\"position: relative; padding-bottom: 56.25%; height: 0; overflow: hidden; max-width: 100%; margin-top: 1.5em;\"><!-- [et_pb_line_break_holder] -->    <iframe<!-- [et_pb_line_break_holder] -->      src=&#8221;https:\/\/www.youtube-nocookie.com\/embed\/E25CYlJtLBA?start=0&#038;rel=0&#8243;<!-- [et_pb_line_break_holder] -->      title=&#8221;AI &#038; ML on AWS \u2013 Building for GxP Validated Environments (Bio-IT World 2025)&#8221;<!-- [et_pb_line_break_holder] -->      loading=&#8221;lazy&#8221;<!-- [et_pb_line_break_holder] -->      style=&#8221;position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;&#8221;<!-- [et_pb_line_break_holder] -->      referrerpolicy=&#8221;strict-origin-when-cross-origin&#8221;<!-- [et_pb_line_break_holder] -->      allow=&#8221;accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share&#8221;<!-- [et_pb_line_break_holder] -->      allowfullscreen><!-- [et_pb_line_break_holder] -->    <\/iframe><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<div style=\"text-align: center; margin: 1.5em 0;\"><!-- [et_pb_line_break_holder] -->    <a href=\"https:\/\/www.youtube.com\/watch?v=E25CYlJtLBA\" target=\"_blank\" rel=\"noopener noreferrer\" title=\"Watch the full video on YouTube\" style=\"text-decoration: none;\"><!-- [et_pb_line_break_holder] -->      <strong>Watch the full video on YouTube<\/strong><!-- [et_pb_line_break_holder] -->      <img src=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2024\/09\/Youtube-icon-300x300.png\" alt=\"Watch biotech IT support session \u2013 AI &#038; ML on AWS for GxP Compliance \u2013 Bio-IT World 2025 Panel\" width=\"26\" height=\"26\" loading=\"lazy\" decoding=\"async\" style=\"vertical-align: middle; margin-left: 8px;\" \/><!-- [et_pb_line_break_holder] -->    <\/a><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h3>\ud83d\udd0d The Sticky Note Crisis: A Real-World Wake-Up Call<\/h3>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>Aaron opened with a real-world GxP compliance failure: during an FDA audit, a life sciences client was flagged for a <strong>sticky note with shared login credentials<\/strong> left on lab hardware\u2014undermining system trust and traceability.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>PTP was brought in post-crisis to rebuild the client\u2019s AWS cloud architecture\u2014enabling secure collaboration and audit-ready ML workflows in compliance with GxP standards.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h3>\ud83e\uddf0 AWS Tools for Secure, Compliant ML Pipelines<\/h3>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>To ensure <strong>infrastructure readiness, model traceability, and continuous compliance<\/strong>, Aaron highlighted a collection of AWS services that streamline <em>AI\/ML in healthcare and biotech research<\/em>.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\u2705 AWS Config &#038; Conformance Packs<\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Includes pre-built rule sets for:<!-- [et_pb_line_break_holder] -->\n<ul><!-- [et_pb_line_break_holder] -->        <\/p>\n<li><strong>21 CFR Part 11<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->        <\/p>\n<li><a href=\"https:\/\/www.hhs.gov\/hipaa\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\"><strong>HIPAA Security Rule<\/strong><\/a><\/li>\n<p><!-- [et_pb_line_break_holder] -->        <\/p>\n<li><strong>NIST 800-53 Rev. 5<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->        <\/p>\n<li><strong>Annex 11<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->      <\/ul>\n<p><!-- [et_pb_line_break_holder] -->    <\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Monitors and enforces compliance across AWS accounts<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\u2705 AWS Landing Zone Accelerator<\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Automates deployment of <strong>secure multi-account AWS environments<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Enables logical separation of dev, test, and clinical workloads<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Ideal for organizations managing GxP-regulated ML training environments<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\u2705 Amazon SageMaker Model Registry<\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Maintains <strong>ML model lineage, metadata, and versions<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Links model objects to datasets and parameters<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Supports <strong>audit-ready AI environments<\/strong> with full version control<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\u2705 <a href=\"https:\/\/aws.amazon.com\/artifact\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS Artifact<\/a><\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Centralizes compliance reports and audit documentation<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Reduces burden of GxP submissions and third-party validation<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\u2705 <a href=\"https:\/\/aws.amazon.com\/security-hub\/\" target=\"_blank\" rel=\"noopener noreferrer\">AWS Security Hub<\/a><\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Aggregates findings from AWS security tools (e.g., GuardDuty, Inspector)<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Provides a <strong>unified dashboard<\/strong> for monitoring risk posture<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h3>\u2699\ufe0f Practical Outcomes: From Chaos to Confidence<\/h3>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>After implementation, the biotech client:<\/pee><!-- [et_pb_line_break_holder] -->  <\/p>\n<ul><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Passed a GxP re-audit confidently<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Established <strong>secure access control and model versioning<\/strong><\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Reduced audit prep time through centralized event logging<\/li>\n<p><!-- [et_pb_line_break_holder] -->    <\/p>\n<li>Enabled consistent collaboration between IT and research teams with no manual policy enforcement<\/li>\n<p><!-- [et_pb_line_break_holder] -->  <\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <\/p>\n<h3>\ud83d\udcac Final Takeaway<\/h3>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>Building AI-safe infrastructure for life sciences goes far beyond model tuning. It requires <strong>proactive compliance engineering<\/strong>, with tools and controls baked into every layer of your cloud stack.<\/pee><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee>If your organization is planning or scaling <strong>machine learning in biotech<\/strong>, ensure your foundation meets both scientific and regulatory demands from day one.<\/pee><!-- [et_pb_line_break_holder] --><\/article>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><script type=\"application\/ld+json\"><!-- [et_pb_line_break_holder] -->{<!-- [et_pb_line_break_holder] -->  \"@context\": \"https:\/\/schema.org\",<!-- [et_pb_line_break_holder] -->  \"@type\": \"VideoObject\",<!-- [et_pb_line_break_holder] -->  \"name\": \"AI & ML on AWS \u2013 Building for GxP Validated Environments (Bio-IT World 2025)\",<!-- [et_pb_line_break_holder] -->  \"description\": \"In this Bio-IT World 2025 session, PTP Principal Cloud Architect Aaron Jeskey explains how biotech teams can build GxP-compliant, secure AWS pipelines for AI and ML workloads. From a real-world audit failure to AWS Config, SageMaker, and Landing Zone Accelerator, the talk walks through a blueprint for traceability, audit-readiness, and reproducible research pipelines in regulated life sciences environments.\",<!-- [et_pb_line_break_holder] -->  \"thumbnailUrl\": \"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/04\/ai-and-ml-on-aws-building-for-gxp-validated-environments-cover-photo.jpg\",<!-- [et_pb_line_break_holder] -->  \"uploadDate\": \"2025-04-03T00:00:00-05:00\",<!-- [et_pb_line_break_holder] -->  \"duration\": \"PT11M12S\",<!-- [et_pb_line_break_holder] -->  \"embedUrl\": \"https:\/\/www.youtube-nocookie.com\/embed\/E25CYlJtLBA\",<!-- [et_pb_line_break_holder] -->  \"contentUrl\": \"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\",<!-- [et_pb_line_break_holder] -->  \"publisher\": {<!-- [et_pb_line_break_holder] -->    \"@type\": \"Organization\",<!-- [et_pb_line_break_holder] -->    \"name\": \"PTP\",<!-- [et_pb_line_break_holder] -->    \"logo\": {<!-- [et_pb_line_break_holder] -->      \"@type\": \"ImageObject\",<!-- [et_pb_line_break_holder] -->      \"url\": \"https:\/\/ptp.cloud\/wp-content\/uploads\/2020\/11\/ptp-rebrand-logo-original.png\"<!-- [et_pb_line_break_holder] -->    }<!-- [et_pb_line_break_holder] -->  },<!-- [et_pb_line_break_holder] -->  \"inLanguage\": \"en\",<!-- [et_pb_line_break_holder] -->  \"isFamilyFriendly\": true,<!-- [et_pb_line_break_holder] -->  \"transcript\": \"Aaron Jeskey presents a GxP compliance session at Bio-IT World 2025. He shares how PTP helped a biotech client remediate audit failures and build a secure, compliant AWS ML pipeline. The talk highlights tools like AWS Config, Landing Zone Accelerator, SageMaker Model Registry, Artifact, and Security Hub to support HIPAA, NIST, and 21 CFR Part 11 requirements. Key takeaways include credential control, version traceability, and audit visibility across multi-account cloud environments.\"<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/script><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<section style=\"background-color: #f4f4f4; padding: 2em; border-radius: 8px; margin-top: 2em;\"><!-- [et_pb_line_break_holder] -->  <\/p>\n<h4>\ud83d\udd0e Transcript Highlights<\/h4>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->  <pee><strong>0:00<\/strong> \u2013 Aaron introduces himself, PTP\u2019s role in biotech cloud security, and their AWS Life Sciences Competency status.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>1:40<\/strong> \u2013 Shares a story of a failed GxP audit where a sticky note with a shared password on lab equipment triggered an incident.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>3:15<\/strong> \u2013 Overview of PTP\u2019s remediation: building a secure AWS Landing Zone and aligning workloads with GxP zones.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>4:45<\/strong> \u2013 Deep dive into AWS Config and conformance packs to enforce compliance frameworks like 21 CFR Part 11 and HIPAA.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>6:02<\/strong> \u2013 Discusses use of SageMaker Model Registry to track model lineage, parameters, and metadata for audit visibility.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>7:20<\/strong> \u2013 Highlights the role of AWS Artifact in surfacing documentation for internal reviews and regulatory inspectors.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>8:31<\/strong> \u2013 AWS Security Hub discussed as a central pane for risk visibility, configuration drift, and control enforcement.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>9:40<\/strong> \u2013 Summary of tools used and the outcome: a successful follow-up GxP audit and fully compliant ML pipeline.<\/pee><!-- [et_pb_line_break_holder] -->  <pee><strong>10:45<\/strong> \u2013 Final advice: build compliance into infrastructure\u2014not as an afterthought\u2014when scaling AI in regulated environments.<\/pee><!-- [et_pb_line_break_holder] --><\/section>\n<p><!-- [et_pb_line_break_holder] -->\u00a0[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>At Bio-IT World 2025, PTP shared AWS-based strategies to build audit-ready, AI-safe pipelines for biotech. Real-world tools, frameworks, and GxP lessons included.<\/p>\n","protected":false},"author":445,"featured_media":16227,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"[embed]https:\/\/www.youtube.com\/watch?v=E25CYlJtLBA&t=12s[\/embed]\r\n<h3 class=\"\" data-start=\"547\" data-end=\"631\">Building AI-Safe Biotech Data Pipelines with AWS: Lessons from Bio-IT World 2025<\/h3>\r\n<p class=\"\" data-start=\"633\" data-end=\"696\"><strong data-start=\"633\" data-end=\"696\">April 3, 2025 | Bio-IT World Conference & Expo | Boston, MA<\/strong><\/p>\r\n<p class=\"\" data-start=\"698\" data-end=\"1063\">Biotech organizations are racing to harness the power of AI and machine learning (ML) \u2014 but with that comes the rising challenge of <strong data-start=\"830\" data-end=\"883\">security, traceability, and regulatory compliance<\/strong>. At <strong data-start=\"888\" data-end=\"909\">Bio-IT World 2025<\/strong>, <strong data-start=\"911\" data-end=\"927\">Aaron Jeskey<\/strong>, Principal Cloud Architect at <strong data-start=\"958\" data-end=\"965\">PTP<\/strong>, delivered a must-watch session on how to build <strong data-start=\"1014\" data-end=\"1062\">secure, AI-ready data pipelines in the cloud<\/strong>.<\/p>\r\n<p class=\"\" data-start=\"1065\" data-end=\"1436\">As an <strong data-start=\"1071\" data-end=\"1111\">AWS Life Sciences Competency Partner<\/strong>, PTP helps organizations stay audit-ready and compliant with industry regulations like <strong data-start=\"1199\" data-end=\"1217\">21 CFR Part 11<\/strong>, <strong data-start=\"1219\" data-end=\"1228\">HIPAA<\/strong>, and <strong data-start=\"1234\" data-end=\"1249\">NIST 800-53<\/strong>. Aaron\u2019s talk walked through a real-world scenario \u2014 including a nearly failed FDA audit \u2014 to highlight practical tools biotech teams can implement immediately in their AWS environments.<\/p>\r\n\r\n\r\n<hr class=\"\" data-start=\"1438\" data-end=\"1441\" \/>\r\n\r\n<h3 class=\"\" data-start=\"1443\" data-end=\"1499\">\ud83d\udd0d The Sticky Note Crisis: A Real-World Wake-Up Call<\/h3>\r\n<p class=\"\" data-start=\"1501\" data-end=\"1736\">Aaron opened with a cautionary tale. A life sciences client undergoing a GxP audit was nearly derailed when an auditor spotted a <strong data-start=\"1630\" data-end=\"1675\">sticky note with shared login credentials<\/strong> on a lab instrument \u2014 instantly compromising data integrity.<\/p>\r\n<p class=\"\" data-start=\"1738\" data-end=\"1926\">PTP stepped in after the crisis to help rebuild the company\u2019s cloud architecture with audit-readiness in mind. That experience shaped the core recommendations Aaron shared at Bio-IT World.<\/p>\r\n\r\n\r\n<hr class=\"\" data-start=\"1928\" data-end=\"1931\" \/>\r\n\r\n<h3 class=\"\" data-start=\"1933\" data-end=\"1984\">\ud83e\uddf0 AWS Tools for Secure, Compliant ML Pipelines<\/h3>\r\n<p class=\"\" data-start=\"1986\" data-end=\"2130\">Aaron introduced a comprehensive AWS-based strategy to ensure <strong data-start=\"2048\" data-end=\"2105\">traceability, reproducibility, and policy enforcement<\/strong> in biotech environments:<\/p>\r\n\r\n<h4 class=\"\" data-start=\"2132\" data-end=\"2173\">\u2705 <strong data-start=\"2139\" data-end=\"2173\">AWS Config & Conformance Packs<\/strong><\/h4>\r\n<ul data-start=\"2174\" data-end=\"2403\">\r\n \t<li class=\"\" data-start=\"2174\" data-end=\"2316\">\r\n<p class=\"\" data-start=\"2176\" data-end=\"2221\">Deploys out-of-the-box compliance checks for:<\/p>\r\n\r\n<ul data-start=\"2224\" data-end=\"2316\">\r\n \t<li class=\"\" data-start=\"2224\" data-end=\"2244\">\r\n<p class=\"\" data-start=\"2226\" data-end=\"2244\"><strong data-start=\"2226\" data-end=\"2244\">21 CFR Part 11<\/strong><\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2247\" data-end=\"2272\">\r\n<p class=\"\" data-start=\"2249\" data-end=\"2272\"><strong data-start=\"2249\" data-end=\"2272\">HIPAA Security Rule<\/strong><\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2275\" data-end=\"2299\">\r\n<p class=\"\" data-start=\"2277\" data-end=\"2299\"><strong data-start=\"2277\" data-end=\"2299\">NIST 800-53 Rev. 5<\/strong><\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2302\" data-end=\"2316\">\r\n<p class=\"\" data-start=\"2304\" data-end=\"2316\"><strong data-start=\"2304\" data-end=\"2316\">Annex 11<\/strong><\/p>\r\n<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2317\" data-end=\"2403\">\r\n<p class=\"\" data-start=\"2319\" data-end=\"2403\">Automatically monitors and reports on policy adherence across multiple AWS accounts.<\/p>\r\n<\/li>\r\n<\/ul>\r\n<h4 class=\"\" data-start=\"2405\" data-end=\"2444\">\u2705 <strong data-start=\"2412\" data-end=\"2444\">AWS Landing Zone Accelerator<\/strong><\/h4>\r\n<ul data-start=\"2445\" data-end=\"2653\">\r\n \t<li class=\"\" data-start=\"2445\" data-end=\"2518\">\r\n<p class=\"\" data-start=\"2447\" data-end=\"2518\">Sets up <strong data-start=\"2455\" data-end=\"2489\">multi-account AWS environments<\/strong> with centralized governance.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2519\" data-end=\"2587\">\r\n<p class=\"\" data-start=\"2521\" data-end=\"2587\">Ideal for separating dev, pre-clinical, and clinical environments.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2588\" data-end=\"2653\">\r\n<p class=\"\" data-start=\"2590\" data-end=\"2653\">Simplifies consistent policy enforcement across business units.<\/p>\r\n<\/li>\r\n<\/ul>\r\n<h4 class=\"\" data-start=\"2655\" data-end=\"2697\">\u2705 <strong data-start=\"2662\" data-end=\"2697\">Amazon SageMaker Model Registry<\/strong><\/h4>\r\n<ul data-start=\"2698\" data-end=\"2895\">\r\n \t<li class=\"\" data-start=\"2698\" data-end=\"2741\">\r\n<p class=\"\" data-start=\"2700\" data-end=\"2741\">Enables <strong data-start=\"2708\" data-end=\"2740\">version control of ML models<\/strong>.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2742\" data-end=\"2811\">\r\n<p class=\"\" data-start=\"2744\" data-end=\"2811\">Links deployed models to corresponding datasets and parameter sets.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2812\" data-end=\"2895\">\r\n<p class=\"\" data-start=\"2814\" data-end=\"2895\">Crucial for <strong data-start=\"2826\" data-end=\"2850\">proving traceability<\/strong> during audits and validating model behavior.<\/p>\r\n<\/li>\r\n<\/ul>\r\n<h4 class=\"\" data-start=\"2897\" data-end=\"2920\">\u2705 <strong data-start=\"2904\" data-end=\"2920\">AWS Artifact<\/strong><\/h4>\r\n<ul data-start=\"2921\" data-end=\"3067\">\r\n \t<li class=\"\" data-start=\"2921\" data-end=\"2983\">\r\n<p class=\"\" data-start=\"2923\" data-end=\"2983\">Accesses compliance documentation for infrastructure audits.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"2984\" data-end=\"3067\">\r\n<p class=\"\" data-start=\"2986\" data-end=\"3067\">Eases the burden of regulatory paperwork by centralizing documentation workflows.<\/p>\r\n<\/li>\r\n<\/ul>\r\n<h4 class=\"\" data-start=\"3069\" data-end=\"3096\">\u2705 <strong data-start=\"3076\" data-end=\"3096\">AWS Security Hub<\/strong><\/h4>\r\n<ul data-start=\"3097\" data-end=\"3250\">\r\n \t<li class=\"\" data-start=\"3097\" data-end=\"3157\">\r\n<p class=\"\" data-start=\"3099\" data-end=\"3157\">Aggregates logs and security findings across AWS services.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"3158\" data-end=\"3250\">\r\n<p class=\"\" data-start=\"3160\" data-end=\"3250\">Provides a <strong data-start=\"3171\" data-end=\"3197\">\u201csingle pane of glass\u201d<\/strong> for managing risk across multi-account environments.<\/p>\r\n<\/li>\r\n<\/ul>\r\n\r\n<hr class=\"\" data-start=\"3252\" data-end=\"3255\" \/>\r\n\r\n<h3 class=\"\" data-start=\"3257\" data-end=\"3308\">\u2699\ufe0f Practical Outcomes: From Chaos to Confidence<\/h3>\r\n<p class=\"\" data-start=\"3310\" data-end=\"3370\">After implementing these AWS tools, PTP helped their client:<\/p>\r\n\r\n<ul data-start=\"3372\" data-end=\"3677\">\r\n \t<li class=\"\" data-start=\"3372\" data-end=\"3417\">\r\n<p class=\"\" data-start=\"3374\" data-end=\"3417\">Pass a follow-up GxP audit with confidence.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"3418\" data-end=\"3488\">\r\n<p class=\"\" data-start=\"3420\" data-end=\"3488\">Ensure <strong data-start=\"3427\" data-end=\"3461\">data integrity, access control<\/strong>, and <strong data-start=\"3467\" data-end=\"3487\">model versioning<\/strong>.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"3489\" data-end=\"3555\">\r\n<p class=\"\" data-start=\"3491\" data-end=\"3555\">Reduce audit prep time by centralizing logs and security events.<\/p>\r\n<\/li>\r\n \t<li class=\"\" data-start=\"3556\" data-end=\"3677\">\r\n<p class=\"\" data-start=\"3558\" data-end=\"3677\">Improve collaboration between data scientists and IT by enforcing policies automatically \u2014 without manual intervention.<\/p>\r\n<\/li>\r\n<\/ul>\r\n\r\n<hr class=\"\" data-start=\"3679\" data-end=\"3682\" \/>\r\n\r\n<h3 class=\"\" data-start=\"3684\" data-end=\"3705\">\ud83d\udcac Final Takeaway<\/h3>\r\n<p class=\"\" data-start=\"3707\" data-end=\"3931\">Aaron emphasized that building AI-safe biotech pipelines isn't just about code and models \u2014 it\u2019s about <strong data-start=\"3810\" data-end=\"3855\">infrastructure, governance, and readiness<\/strong>. In regulated environments, <strong data-start=\"3884\" data-end=\"3930\">compliance must be built-in, not bolted on<\/strong>.<\/p>\r\n<p class=\"\" data-start=\"3933\" data-end=\"4071\">If your biotech organization is scaling ML workloads in the cloud, you need a foundation that meets both technical and regulatory demands.<\/p>\r\n\r\n\r\n<hr class=\"\" data-start=\"4073\" data-end=\"4076\" \/>\r\n\r\n<h2 class=\"\" data-start=\"4078\" data-end=\"4094\">\ud83e\uddea Learn More<\/h2>\r\n<p class=\"\" data-start=\"4096\" data-end=\"4391\">\ud83d\udee0\ufe0f <a class=\"\" href=\"https:\/\/ptp.cloud\/aws-consulting\/aws-for-life-sciences\/\" target=\"_new\" rel=\"noopener\" data-start=\"4219\" data-end=\"4318\">Explore PTP\u2019s AWS Life Sciences Services<\/a><br data-start=\"4318\" data-end=\"4321\" \/>\ud83d\udcde <a class=\"\" href=\"https:\/\/ptp.cloud\/contact\/\" target=\"_new\" rel=\"noopener\" data-start=\"4324\" data-end=\"4391\">Get a Free Cloud Readiness Assessment<\/a><\/p>\r\n\u00a0","_et_gb_content_width":"","content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[12,16,83],"tags":[],"table_tags":[],"class_list":["post-16225","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-for-life-sciences-archive","category-events-archive","category-learning-videos-archive"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.1.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI-Ready Cloud Pipelines for Life Sciences | PTP + AWS<\/title>\n<meta name=\"description\" content=\"Learn how biotech teams can build secure, compliant AWS environments for AI and machine learning. Insights from PTP\u2019s Bio-IT World 2025 session.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI-Ready Cloud Pipelines for Life Sciences | PTP + AWS\" \/>\n<meta property=\"og:description\" content=\"Learn how biotech teams can build secure, compliant AWS environments for AI and machine learning. Insights from PTP\u2019s Bio-IT World 2025 session.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\" \/>\n<meta property=\"og:site_name\" content=\"PTP | Cloud Experts | Biotech Enablers\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PTPCloud\" \/>\n<meta property=\"article:published_time\" content=\"2025-04-30T03:03:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-22T04:29:05+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/04\/ai-and-ml-on-aws-building-for-gxp-validated-environments-with-aaron-jeskey.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1536\" \/>\n\t<meta property=\"og:image:height\" content=\"868\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Mai Hiraoka\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@PTPCloud\" \/>\n<meta name=\"twitter:site\" content=\"@PTPCloud\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mai Hiraoka\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\"},\"author\":{\"name\":\"Mai Hiraoka\",\"@id\":\"https:\/\/ptp.cloud\/#\/schema\/person\/d306a15db3b78f40bef20f1fafd81aa2\"},\"headline\":\"Secure, AI-Ready Cloud Pipelines for Biotech: Lessons from Bio-IT World 2025\",\"datePublished\":\"2025-04-30T03:03:22+00:00\",\"dateModified\":\"2025-07-22T04:29:05+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\"},\"wordCount\":735,\"publisher\":{\"@id\":\"https:\/\/ptp.cloud\/#organization\"},\"image\":{\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/04\/ai-and-ml-on-aws-building-for-gxp-validated-environments-with-aaron-jeskey.jpg\",\"articleSection\":[\"AWS Life Sciences\",\"Events\",\"Learning Videos\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\",\"url\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/\",\"name\":\"AI-Ready Cloud Pipelines for Life Sciences | PTP + AWS\",\"isPartOf\":{\"@id\":\"https:\/\/ptp.cloud\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/ptp.cloud\/ai-safe-biotech-data-pipelines-aws\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/ptp.cloud\/wp-content\/uploads\/2025\/04\/ai-and-ml-on-aws-building-for-gxp-validated-environments-with-aaron-jeskey.jpg\",\"datePublished\":\"2025-04-30T03:03:22+00:00\",\"dateModified\":\"2025-07-22T04:29:05+00:00\",\"description\":\"Learn how biotech teams can build secure, compliant AWS environments for AI and machine learning. 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