During Now & Next 2026 in Miami, IGEL announced language models running locally through Ollama for IGEL OS. This is part of the AI Armor feature that provides dynamic runtime security. AI Armor also relies on the Universal Management Suite (UMS) central policy engine to meet compliance requirements.
Ollama plays a central role in enabling local AI. This open source platform is built to download and run LLM on endpoints. For example, this is useful if your employees receive priority email. Google’s Gemma 3 model can then be used to instantly generate appropriate responses. No cloud services are required, and you don’t have to pay any token or subscription fees. Nothing comes out of the PC or corporate network.
Administrators can use UMS to determine exactly which users can access Ollama and which prompts are allowed. Use cases listed by IGEL include text transformation, translation, summarization, code generation, search queries, and more. IGEL emphasizes that driving AI to the edge is also driven by cost. The cost of cloud-based AI services can increase significantly for your organization.
AI armor and endpoint governance
In addition to local AI, IGEL is also building more AI Armor. For example, IGEL now tracks which processes are seeking access to a device’s NPU or GPU. Administrators can selectively block this use.
Only applications that are approved and signed via the App Portal are allowed to run. In addition, IGEL is developing a central policy engine within UMS with pre-built compliance templates for regulations. With one click, administrators can enable the right settings for their industry, even if not everyone knows specific compliance requirements.
tips: IGEL enables “smarter zero trust” contextual access to endpoints
