AIDNOS Launches AI Native Intelligence Foundation 'NOS'
TECHWORLD ·
✦ AI Summary
AIDNOS has officially launched the AI Native Intelligence Foundation, 'NOS.' NOS is described as an enterprise-grade meta-agent operating system and an 'Agent Mega Factory' solution that controls security deviations and infrastructure waste. NOS consists of Human-in-the-Loop, a privilege-control network and a single audit ledger, and six core modules: PromptAid, CouplerAid, ForgeAid, CloudAid/HostedOn, IntelligenceAid, and MarketAid.
With the recent spread of generative AI and the rise of natural-language-based vibe coding, the number of cases in which professional developers directly build AI agents for work has surged, and the number of cases in which citizen developers, nontechnical employees, directly build AI agents for work has also surged. Meta-agents are agents that generate agents.
However, along with this trend, concerns have persisted that directly connecting uncontrolled AI to in-house core DB, ERP, CRM, internal API, and other internal systems could lead to the leakage of sensitive data and create Shadow IT problems. It has also been pointed out that directly connecting uncontrolled AI to internal systems could violate national security regulations, and K-ICS network segregation has been cited as a related example.
In this context, AI-native infrastructure tech startup AIDNOS has officially launched the AI Native Intelligence Foundation, 'NOS.' The full name of 'NOS' is AI Native Intelligence Foundation, and it is an enterprise-grade meta-agent operating system.
In the absence of CI/CD, the mass production of one-off agents has continued, raising the problems of wasted in-house cloud resources and 'resource Sprawl,' while token costs have also surged, emerging as a major pain point for companies.
AIDNOS described NOS as an 'Agent Mega Factory' solution designed to fully control security deviations and infrastructure waste. It added that the solution supports the permanent enterprise assetization of AI-generated outputs and the secure integration and evolution of AI-generated outputs.
AIDNOS announced that it has introduced the core Human-in-the-Loop architecture in NOS. Under this system, AI's role is code build and execution, while the human role is verification and final accountability within an ITIL-based standard workflow, the company said.
AIDNOS also said that, as part of the Human-in-the-Loop system, NOS forcibly operates a privilege-control network and a single audit ledger. It announced that the operating foundation of the NOS platform consists of six organic core modules.
An enterprise AI development and operations framework is organized around functional components. PromptAid normalizes developer requirements and natural-language drafts into Requirement Structure, the standard data schema, to prevent errors in AI execution. Through this, it reduces rework caused by requirement mismatches by more than 30%.
Security, quality, and approval procedures are applied at the legacy integration, external linkage, and deployment stages. CouplerAid targets the in-house core network and external API as integration endpoints, forms an RBAC/OAuth-based security bridge, and ensures session token synchronization. It also guarantees secure infrastructure integration without data leakage. ForgeAid combines AI-generated source code, manifests, and ITIL processes, and only the results that pass the quality gate are subject to final administrator approval, with only those administrator-approved results automatically deployed to the production network.
The infrastructure operates in a compliance-oriented isolated environment. CloudAid/HostedOn manages the IaC of the application and agent operating infrastructure environment, while HostedOn meets national K-ICS network segregation regulations and provides an on-premises isolated deployment package disconnected from external networks. Finally, IntelligenceAid turns companywide development source code and agents into enterprise-specific knowledge assets and centralizes them in a registry, blocking 30% to 45% of duplicate development. It also runs a continuous retraining feedback loop based on execution logs.
MarketAid is presented as a function that meters API call traffic and infrastructure consumption in real time, automatically controls department-level usage quotas, executes in-house knowledge asset transactions, and settles credits (AID).
Lee Gwang-jae, CEO of AIDNOS, said that the essential problem with AI does not lie in the technology itself. He added that the focus of enterprise investment is on result reliability and sustainable operations rather than the ability to mass-produce outputs, and that uncontrolled productivity gains create organizational bottlenecks. Against this backdrop, he said the significance of the NOS launch lies in transforming fragmented, personal-tool-level AI coding into an enterprise-standard 'knowledge asset automation factory,' and predicted that the launch of NOS will become an important milestone for the AI ecosystem as a whole.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407270
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.