What is Proprietary LLM? | Definition

What is a proprietary LLM?

A proprietary large language model (LLM) is an advanced AI model developed and owned by a specific organization (Delinea in this case). It's trained on curated datasets, often including internal data, and used exclusively by that organization.

Unlike public or open-source LLMs (like ChatGPT), proprietary models are closed, controlled, and fine-tuned Chain of Thought (CoT) for specific use cases.

What are the key characteristics of a proprietary LLM?

• Privacy: Not shared or exposed to third parties. Data stays in-house.
• Accuracy: Tuned on internal documentation, systems, and workflows to boost accuracy. It's trained to know your environment.
• Compliance: Helps meet data residency, governance, and audit requirements.

What role does a proprietary LLM play in identity security?

Proprietary LLMs power AI agents that handle access requests, detect unusual behaviors, generate audit reports, and provide real-time contextual recommendations, all while keeping the sensitive identity and access data within your environment.

Why should you care?

• This type of LLM reduces the risk of data leakage and helps compliance
• It increases accuracy by understanding your systems, users, and terminology
• Keeps complete control over how your AI behaves, learns, and evolves in your hands

Instead of using a public chatbot to evaluate an access request, a proprietary LLM trained on your internal policies, past access logs, and org-specific context can make a better-informed and safer decision.