MCloudbridge Unveils 'Ai 365 Unified AI Platform' for Public, Education and Research Institutions
TECHWORLD ·
✦ AI Summary
MCloudbridge unveiled its 'Ai 365 Unified AI Platform' for public, education and research institutions on the 13th.
The platform is designed to operate separate processing paths for local AI and public AI according to an institution's security policies, data importance, user permissions and business characteristics.
G1 critical and confidential data is processed through local storage and local LLMs, G2 internal business data can be tokenized and pseudonymized before being linked with public LLMs, and G3 public data uses public LLMs such as OpenAI and Claude.
MCloudbridge unveiled its "Ai 365 Unified AI Platform" for public, education and research institutions on the 13th. Ai 365 is a platform that integrates users, business systems, data and AI models.
The platform was configured to distinguish AI processing methods in line with an institution's internal security requirements and data sensitivity. It was designed to operate separate processing paths for local AI and public AI based on each institution's security policies, data importance, user permissions and business characteristics.
Personal information, administrative information and research materials whose external transfer is restricted are stored in the institution's internal local storage. Document analysis, knowledge search, retrieval-augmented generation (RAG) and AI inference tasks related to these data can be handled in a local LLM environment.
Tasks for which external AI use is allowed are handled in connection with public storage. The platform links with public LLMs such as OpenAI and Claude, aiming to selectively use local AI and public AI depending on security policies and data importance.
Storage, analysis and integration methods vary by data classification, and the higher the sensitivity, the more processing is centered on the institution's internal systems and local models. G1 critical and confidential data processing uses local storage and local LLMs to perform internal storage, search and inference. G2 internal business data processing analyzes the original text in a local environment and then can link only tokenized and pseudonymized information with public LLMs according to policy standards.
As the scope of data that can be made public widens, public LLM use becomes possible. G3 public data processing uses public LLMs such as OpenAI and Claude, and G3 use cases include search, translation, summarization, document writing and inference. The usage structure is a method of selectively using local AI and public AI in a single environment according to user permissions, business purpose and institutional policy standards.
It can also operate multiple LLMs in parallel depending on whether a task can be used externally and the level of protection required. It supports multi-LLM operations, and tasks that can use external AI can be linked with OpenAI and Claude, while tasks that require a high level of data protection can use local LLMs such as Llama, Qwen and DeepSeek.
This function provides policy-based LLM routing. Public LLMs are connected for public information searches and general document-writing tasks, while local LLMs are connected for tasks involving confidential documents and internal research materials. This automatically separates the processing environment according to the nature of the task.
MCloudbridge supports AI readiness assessments, business and data analysis, AI agent proof of concept (PoC), platform deployment, multi-LLM integration, business agent adoption and specialized training. Before deployment, it conducts a PoC based on actual business operations and data, then uses the results to gradually expand the platform into an AI platform suited to the institution's environment.
MCloudbridge will hold the "Ai 365 Unified AI Platform Seminar" at GS Tower in Seoul on the 22nd. The seminar is expected to introduce methods for integrating data, infrastructure, LLMs, AI agents, security and governance into a single platform, as well as practical adoption strategies.
Lee Hyeok-jae, CEO of MCloudbridge, said that maintaining data protection and data sovereignty should be the premise for using AI in public, education and research fields. He then said that because data and security policies differ by institution, the company will support the selective application of local AI and public AI according to each institution's data and security policies.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408129
References
This article was produced with the help of an automated content generation algorithm.
Source: TECHWORLD
View originalThis article was summarized and organized by BizCrush based on the original article from TECHWORLD. For exact quotations and full details, please refer to the original article.