AI App Catalog · Local LLM

Ollama (Local LLM) at Work: Risk and Controls

Ollama · Local LLM. What an MSP needs to know to govern Ollama (Local LLM) on client devices.

At a Glance

VendorOllama
CategoryLocal LLM
Default Risk RatingMedium
Default Status for New ClientsUnapproved
Recognized ByDomain:
Desktop App InventoriedmacOS, Windows, Linux

The risk rating and default status are ProctoredAI's starting points for a new client. Each partner sets the status per client.

What to Know About Ollama (Local LLM)

Runs models on the device; content stays local, but model provenance is unmanaged.

Why Local LLM Tools Need Governing

Local runtimes run models on the device, so nothing is inspected on the way out, and downloaded models can be anything.

Inventory the runtimes and models on every device and decide per client whether local models are allowed.

How ProctoredAI Governs Ollama (Local LLM)

  • See it. The agent reports every device and account using Ollama (Local LLM), and finds the installed desktop app on macOS, Windows and Linux.
  • Decide it. Mark it Approved, Unapproved or Blocked for each client. Unapproved use can ask the person for a business reason first.
  • Protect what is sent. Prompts and uploads are inspected on the device, and credentials, health and payment data and sensitive documents are stopped, redacted or warned on by the client's rules.
  • Prove it. Usage, decisions and blocked events land in the client's monthly report as evidence.

Policy Packs That Fit

  • Credentials & Secrets. Block API keys, private keys, passwords and connection strings everywhere.
  • Sensitive Documents. Contracts, financial statements, HR and medical records, customer lists and credential files may only go to approved AI apps.

Other Local LLM Apps

All 230 AI apps in the catalog · What ProctoredAI does

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