--- title: Configuring secure, sovereign AIOps for IT teams in... description: IT teams in regulated sectors like government, healthcare, and BFSI face significant barriers to AI adoption due to data residency regulations, exfiltration... canonical: https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Configuring secure, sovereign AIOps for IT teams in regulated sectors with OpManager and Ollama | daily.dev og:description: IT teams in regulated sectors like government, healthcare, and BFSI face significant barriers to AI adoption due to data residency regulations, exfiltration... og:url: https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek og:image: https://api.daily.dev/og/posts/Qdc27RWEK.png og:image:alt: Configuring secure, sovereign AIOps for IT teams in regulated sectors with OpManager and Ollama og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Configuring secure, sovereign AIOps for IT teams in regulated sectors with OpManager and Ollama **[SitePoint](https://daily.dev/sources/sitepoint)** · 7 min read · 0 upvotes · 0 comments ## Summary IT teams in regulated sectors like government, healthcare, and BFSI face significant barriers to AI adoption due to data residency regulations, exfiltration risks, and compliance requirements. ManageEngine OpManager can be integrated with a locally-hosted Ollama runtime to deliver air-gapped, sovereign AIOps — keeping all telemetry data on-premises. The setup involves installing Ollama, pulling a local LLM (default gpt-oss:20b or alternatives like llama3), and configuring OpManager to route AI prompts to the local endpoint. Once connected, teams gain AI-powered alarm summarization, root-cause analysis, asset health checks, and automated monitoring script generation in PowerShell, Python, or Shell — all without data leaving the network perimeter. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What hardware do I need to run Ollama with a 20B parameter model for OpManager's AIOps integration? Enterprise-scale models in the 20B to 70B parameter range require 32 GB to 48 GB or more of RAM. Mid-range 8B to 9B models need a minimum of 12 GB RAM (16-24 GB recommended), while entry-level 3B to 4B models need at least 4 GB RAM (8 GB recommended). A dedicated GPU is optional but significantly improves token processing and inference speed compared to CPU-only setups. _Teams sizing local LLM infrastructure for AIOps can track hardware guidance like this on daily.dev._ ### How do I configure OpManager to use a different Ollama model instead of the default gpt-oss:20b? Edit the serverparameters.conf file located in the OPM_HOME/conf/OpManager/ directory and append a line reading OLLAMA_GENAI_MODEL followed by the desired model name, such as llama3. Save the file and restart the OpManager service so the new server parameter loads into active memory, replacing the default gpt-oss:20b model reference. _IT teams tuning local model choices for their monitoring stack can follow config changes like this via daily.dev._ ### Why can't regulated industries like banking and healthcare use standard cloud-based AIOps tools? Cloud-based AI providers create data exfiltration risks through public endpoints and prompt injection attacks, prevent IT security teams from enforcing internal role-based access control, and can violate data residency regulations like DORA and CJIS. Only 23% of IT leaders report being very confident in managing security and governance when rolling out GenAI tools, according to Gartner research cited alongside this guidance. _Compliance-focused IT teams weighing sovereign versus cloud AIOps options can follow this reasoning on daily.dev._ ## Similar posts on daily.dev - [How to Protect Sensitive Data by Running LLMs Locally with Ollama](https://daily.dev/posts/how-to-protect-sensitive-data-by-running-llms-locally-with-ollama-krjyxqjkt) · freeCodeCamp · 2 upvotes · 0 comments - [Local Agentic AI Workflows with Hermes \+ Ollama](https://daily.dev/posts/local-agentic-ai-workflows-with-hermes-ollama-c1s8tixhh) · Machine Learning Mastery · 2 upvotes · 0 comments - [These 4 tools paired with Ollama gave me a private AI workflow that actually matters](https://daily.dev/posts/these-4-tools-paired-with-ollama-gave-me-a-private-ai-workflow-that-actually-matters-urbihusn0) · XDA Developers · 3 upvotes · 1 comments - [LLMjacking evolved: Attackers are using stolen AI compute to build offensive agentic tools](https://daily.dev/posts/llmjacking-evolved-attackers-are-using-stolen-ai-compute-to-build-offensive-agentic-tools-klku1uvkk) · Sysdig Blog · 1 upvotes · 0 comments - [What is AIOps?](https://daily.dev/posts/what-is-aiops--too6n6o38) · portkey · 24 upvotes · 3 comments --- Tags: [#monitoring](https://daily.dev/tags/monitoring), [#local-ai](https://daily.dev/tags/local-ai), [#ollama](https://daily.dev/tags/ollama), [#aiops](https://daily.dev/tags/aiops) [View this post on daily.dev](https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Configuring secure, sovereign AIOps for IT teams in regulated sectors with OpManager and Ollama","url":"https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek"},"datePublished":"2026-07-16T17:24:35.742Z","dateModified":"2026-09-14T07:14:35.038Z","description":"IT teams in regulated sectors like government, healthcare, and BFSI face significant barriers to AI adoption due to data residency regulations, exfiltration...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fa79a1e570dc2c6089c4398585ab5af9?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/fa79a1e570dc2c6089c4398585ab5af9?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"SitePoint","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"SitePoint","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/sitepoint","url":"https://daily.dev/sources/sitepoint"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"monitoring,local-ai,ollama,aiops","timeRequired":"PT7M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"SitePoint","item":"https://daily.dev/sources/sitepoint"},{"@type":"ListItem","position":3,"name":"Configuring secure, sovereign AIOps for IT teams in regulated sectors with OpManager and Ollama"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/configuring-secure-sovereign-aiops-for-it-teams-in-regulated-sectors-with-opmanager-and-ollama-qdc27rwek#faq","mainEntity":[{"@type":"Question","name":"What hardware do I need to run Ollama with a 20B parameter model for OpManager's AIOps integration?","acceptedAnswer":{"@type":"Answer","text":"Enterprise-scale models in the 20B to 70B parameter range require 32 GB to 48 GB or more of RAM. 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