PrivateLLM by Sertis: Ensuring Safer Use of LLMs

Sertis
4 min readJul 31, 2024

--

ChatGPT Gemini and Claude are tools that are transforming the way every business operates, unlocking the next level of AI possibility. It is undeniable that these tools have become an integral part of our daily lives.

Many organizations see the benefits of Large Language Models (LLMs) and encourage their employees to use them to ease their workloads.

However, a major issue with using these models is ensuring data security and confidentiality. We have heard of incidents where employees leaked important information because they used tools from public providers. This can be risky to the sensitive data circulating within businesses.

PrivateLLM by Sertis is a solution to this problem, allowing organizations to fully utilize the capabilities of LLMs while eliminating security concerns. Get to know PrivateLLM in this article.

What is PrivateLLM?

PrivateLLM is an LLM model developed for use in restricted environments, such as within an organization. It is not publicly available and runs on the organization’s servers without using cloud systems. This effectively addresses data security issues, allowing organizations to manage internal data with maximum security. Additionally, it can be customized to meet specific needs and usage patterns of each organization.

Why Should Organizations Use PrivateLLM?

Implementing PrivateLLM within an organization allows businesses to securely manage the flow of confidential data. For businesses wanting to harness the full potential of LLM tools but are still concerned about data security, PrivateLLM is the answer.

  • Enhanced Security: Ensure the prevention of confidential information leakage while effectively managing data within the organization.
  • Increased Competitiveness: Utilize the full potential of LLMs as assistants in various tasks safely, enhancing business operations swiftly.
  • Improved Efficiency: PrivateLLM assists with tasks such as summarizing reports, analyzing data, translating languages, and handling all language-related tasks.
  • Reduced Cost: Lower costs associated with routine and manual tasks, allowing employees more time to focus on value-added activities that bring benefits to the organization.

Use Cases of PrivateLLM

  • Advanced Data Analytics: PrivateLLM can efficiently understand and analyze language-related data, enabling businesses to gain insights that drive growth.
  • Decision Support: PrivateLLM can search, analyze, and compare data from various sources to forecast outcomes and provide quality recommendations for business decisions.
  • Reduced Workload: PrivateLLM can handle documentation and routine tasks, such as summarizing reports, translating languages, and transforming rough meeting notes into ready-to-use reports, significantly reducing employee workloads.

How is PrivateLLM Safer?

  • Encryption: Encrypting stored and transferred data within the system to prevent unauthorized access.
  • Access Control: Restricting data access with technologies like two-factor authentication, allowing access only to necessary information and monitoring logging in and activities.
  • Intrusion Detection: Detecting suspicious behavior or system intrusions, alerting relevant personnel immediately, and isolating affected parts to prevent further damage.
  • Compliance: Designing the system and data storage to meet data security standards and comply with company and country regulations.
  • Air-Gapped Security: Operating on an intranet, completely isolated from external networks, ensuring data security and protection from external attacks.

Main Features of PrivateLLM

  • Advanced Language Understanding: PrivateLLM has high-level language capabilities and an understanding of natural language. Especially when customized for each country, it can handle language-related tasks efficiently.
  • Flexible Infrastructure Compatibility: It is designed to work with various infrastructures, whether on-premise, hybrid, or cloud, without requiring additional investment in modifying existing infrastructure.
  • User-Friendly and Secure Data Management: The user interface is designed for ease of use, even for non-technical staff, facilitating system management and implementing data governance measures effectively.
  • 24/7 Operation: PrivateLLM operates continuously and autonomously, enhancing work efficiency without concerns about data leaks due to its secure environment.

Develop a PrivateLLM tailored specifically for your business with Sertis to thrive in the new AI-driven world.

Learn more and contact us at: https://www.sertiscorp.com/contact-us

--

--