Integrated management of LLM, MCP, and agent calls ··· Applies authentication, rate limiting, and audit logsProvides customer-tailored implementation, integration, and technical support ··· Expands AI governance portfolioCloudNetworks (CEO Heung-gyun Jung) announced on the 18th that it has signed a partnership with Kong, a global API and AI connectivity company, and will begin supplying "Kong AI Gateway" in Korea.Kong AI Gateway is an AI gateway that integrates and manages an enterprise's AI traffic through a single gateway. This partnership was pursued to support domestic enterprises in building their AI operating systems, amid growing demand for control and governance of AI calls as the use of generative AI and LLMs spreads into actual business operations.As enterprise AI adoption moves from the experimental stage into the service operation stage, how to control and observe AI calls is emerging as a new operational challenge. Since LLM calls are also made in API form, the need for a central gateway capable of authentication, security, and monitoring is growing.In addition, as calls involving multiple LLM providers, RAG, MCP, and inter-agent communication become intricately intertwined, it is becoming increasingly difficult to manage AI traffic consistently with existing API gateways alone.Kong is a global company that develops API and AI connectivity technology, and has provided an API management platform based on the open-source "Kong Gateway." Recently, it has been expanding its management scope from existing API management into LLM, MCP, and agent-to-agent (A2A) traffic, with Kong AI Gateway handling the AI traffic management portion.Kong AI Gateway is designed by extending the existing API gateway concept to centrally control, secure, and observe LLM and generative AI API calls. Based on the same runtime as Kong Gateway, it manages calls to multiple LLM providers through a single standard interface.Key features include applying the same existing API security policies—such as authentication/authorization, rate limiting, and audit logs—to AI calls. AI-specific features such as personally identifiable information (PII) removal, prompt control, semantic caching, and traffic observability are also provided at the gateway layer.This helps standardize security and policies that were previously implemented separately for each application into a common operational layer.As AI adoption expands into the service operation stage, enterprises must design not only model performance but also control over call paths, cost management, and audit systems together.Along with supplying Kong AI Gateway in Korea, CloudNetworks provides architecture design, implementation, integration, and technical support tailored to customer environments. Through this, the company plans to link the control system at the gateway layer with existing AI operating environments and expand its AI governance portfolio.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is applied to actual business operations, enterprises face a situation where they must consider not only model performance but also how to control and observe AI calls. Based on our experience building AI operating environments, we will supply Kong AI Gateway to support the AI governance systems of domestic enterprises."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This year marks an important point when adoption of Kong AI Gateway is gaining momentum, particularly among major domestic companies in finance, manufacturing, and retail. Building on CloudNetworks' AI technology capabilities and business foundation, we will strengthen our cooperation to help companies build stable AI governance systems, and Kong will continue to provide ongoing support."Source: Datanet (https://www.datanet.co.kr)

CloudNetworks announced on the 18th that it has signed a partnership with Kong, a global company specializing in API and AI connectivity, and will begin supplying "Kong AI Gateway" in Korea.This partnership was pursued in response to growing demand for AI traffic control and governance as the use of generative AI and large language models (LLMs) expands within enterprises.As enterprise AI adoption enters the service operation stage, traffic involving LLM providers, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and agent-to-agent (A2A) communication is becoming increasingly complex. As a result, the need for a central management gateway capable of applying consistent authentication and security policies, and managing cost and monitoring beyond the individual application level, is becoming more prominent.Kong AI Gateway is designed to centrally control, secure, and observe generative AI and LLM API calls, built on the runtime of the existing open-source-based Kong Gateway. A key feature is its ability to manage calls to multiple LLM providers through a single standard interface.Key functions include existing API-level authentication/authorization, rate limiting, and audit logs, as well as AI-specific features provided at the gateway layer, such as personally identifiable information (PII) masking, prompt control, semantic caching, and traffic observability. This allows enterprises to standardize security policies—previously built individually for each application—into a common layer.Along with supplying the solution, CloudNetworks plans to comprehensively provide architecture design tailored to customer environments, implementation, system integration, and technical support, expanding its AI governance portfolio.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is adopted for practical business use, building a system for call control and observability has become important. Based on our implementation experience, we will supply Kong AI Gateway to support domestic enterprises in establishing stable AI governance systems."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This is a time when adoption of AI gateways is gaining momentum, particularly among major industries such as finance, manufacturing, and retail. Through cooperation with CloudNetworks, we will strengthen our support to help domestic enterprises establish stable AI governance systems."Source: Seoul Economic TV (https://www.sentv.co.kr/)

An AI gateway product that manages the model calls and data flows generated when enterprises use generative artificial intelligence (AI) is now being supplied domestically. The approach manages multiple large language models (LLMs) within a single system and applies authentication, security, and monitoring functions.On the 18th, CloudNetworks announced that it has signed a partnership with Kong, a global API and AI connectivity company, and will begin distributing "Kong AI Gateway" in Korea.The two companies plan to support AI traffic management and governance for enterprises applying generative AI and LLMs to actual business operations and services. They will provide a system for centrally managing authentication, security, and monitoring needed in the LLM call process.LLMs are mainly called via API, and multiple model providers, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and inter-agent calls are used together. Kong AI Gateway is designed to manage the API and agent-to-agent (A2A) traffic that occurs in such environments.Kong AI Gateway uses the same runtime as the existing Kong Gateway and manages calls to multiple LLM providers through a single standard interface. Policies previously applied to existing APIs—such as authentication and authorization, rate limiting, and audit logs—can also be applied to AI calls.At the gateway level, it also provides personally identifiable information (PII) filtering, prompt control, semantic caching, and traffic observability functions. It is designed so that enterprises can manage multiple AI models and their related traffic from a single location.Along with supplying the product, CloudNetworks plans to provide architecture design and system implementation tailored to each company's environment, integration with existing systems, and technical support. It is also pursuing a business of integrating gateway-based management systems with existing AI operating environments.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is applied to actual business operations, enterprises face a situation where they must consider not only model performance but also how to control and observe AI calls. Based on our experience building AI operating environments, CloudNetworks will supply Kong AI Gateway to support the AI governance systems of domestic enterprises."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This year marks an important point when adoption of Kong AI Gateway is gaining momentum among major domestic companies in finance, manufacturing, retail, and other sectors."Source: NBN TV (https://www.nbntv.co.kr)

CloudNetworks announced on the 18th that it has signed a partnership with Kong, a global API and AI connectivity company, and will begin supplying Kong AI Gateway in Korea.Kong AI Gateway is an AI gateway that integrates and manages an enterprise's AI traffic through a single gateway. This partnership was pursued to support domestic enterprises in building their AI operating systems, amid growing demand for control and governance of AI calls as the use of generative AI and LLMs spreads into actual business operations.As enterprise AI adoption moves from the experimental stage into the service operation stage, how to control and observe AI calls is emerging as a new operational challenge. Since LLM calls are also made in API form, the need for a central gateway capable of authentication, security, and monitoring is growing.Kong is a global company that develops API and AI connectivity technology, and has provided an API management platform based on the widely used open-source Kong Gateway. Recently, it has been expanding its API management scope to include LLM, MCP, and agent-to-agent (A2A) traffic, with Kong AI Gateway handling the AI traffic management portion of this.Kong AI Gateway is designed by extending the existing API gateway concept to centrally control, secure, and observe LLM and generative AI API calls. It runs on the same runtime as Kong Gateway and manages calls to multiple LLM providers through a single standard interface.In terms of key features, Kong AI Gateway applies the same existing API security policies—such as authentication/authorization, rate limiting, and audit logs—to AI calls as well. It also provides AI-specific features at the gateway layer, including PII removal, prompt control, semantic caching, and traffic observability, helping standardize security and policies that were previously implemented separately in each application into a common operational layer.As AI adoption moves into the service operation stage, enterprises face the need to design not only model performance but also control over call paths, cost management, and audit systems together. Along with supplying Kong AI Gateway in Korea, CloudNetworks will provide architecture design, implementation, integration, and technical support tailored to customer environments.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is applied to actual business operations, enterprises face a situation where they must consider not only model performance but also how to control and observe AI calls. Based on our experience building AI operating environments, CloudNetworks will supply Kong AI Gateway to support the AI governance systems of domestic enterprises."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This year marks an important point when adoption of Kong AI Gateway is gaining momentum among major domestic companies in finance, manufacturing, retail, and other sectors. Building on CloudNetworks' mature AI technology capabilities and broad business foundation, we will further strengthen our cooperation to help companies build stable AI governance systems, and Kong will continue to provide ongoing support."Source: Businesskorea (https://www.businesskorea.co.kr)

CloudNetworks announced on the 18th that it has signed a partnership with Kong, a global API (application programming interface) and AI connectivity company, and will begin supplying Kong AI Gateway in Korea.Kong AI Gateway is an AI gateway that integrates and manages an enterprise's AI traffic through a single gateway. This partnership was pursued to support domestic enterprises in building their AI operating systems, amid growing demand for AI call control and governance as the use of generative AI and large language models (LLMs) spreads into actual business operations.As enterprise AI adoption moves from the experimental stage into the service operation stage, how to control and observe AI calls is emerging as a new operational challenge.Since LLM calls are also made in API form, the need for a central gateway capable of authentication, security, and monitoring is growing. In addition, as calls involving multiple LLM providers, retrieval-augmented generation (RAG), Model Context Protocol (MCP), and inter-agent communication become intertwined, it is becoming increasingly difficult to manage AI traffic consistently with existing API gateways alone.Kong is a global company that develops API and AI connectivity technology, and has provided an API management platform based on the widely used open-source Kong Gateway. Recently, it has been expanding its API management scope to include LLM, MCP, and agent-to-agent (A2A) traffic, with Kong AI Gateway handling the AI traffic management portion of this.Kong AI Gateway is designed by extending the existing API gateway concept to centrally control, secure, and observe LLM and generative AI API calls. It runs on the same runtime as Kong Gateway and manages calls to multiple LLM providers through a single standard interface.In terms of key features, Kong AI Gateway applies the same existing API security policies—such as authentication/authorization, rate limiting, and audit logs—to AI calls as well. It also provides AI-specific features at the gateway layer, including personally identifiable information (PII) removal, prompt control, semantic caching, and traffic observability, helping standardize security and policies that were previously implemented separately in each application into a common operational layer.As AI adoption moves into the service operation stage, enterprises face the need to design not only model performance but also control over call paths, cost management, and audit systems together. Along with supplying Kong AI Gateway in Korea, CloudNetworks will provide architecture design, implementation, integration, and technical support tailored to customer environments. Through this, the company plans to link the control system at the gateway layer with existing AI operating environments and expand its AI governance portfolio.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is applied to actual business operations, enterprises face a situation where they must consider not only model performance but also how to control and observe AI calls. Based on our experience building AI operating environments, CloudNetworks will supply Kong AI Gateway to support the AI governance systems of domestic enterprises."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This year marks an important point when adoption of Kong AI Gateway is gaining momentum among major domestic companies in finance, manufacturing, retail, and other sectors. Building on CloudNetworks' mature AI technology capabilities and broad business foundation, we will further strengthen our cooperation to help companies build stable AI governance systems, and Kong will continue to provide ongoing support."Source: IT Chosun (https://it.chosun.com)

Single gateway controls and observes LLM, MCP, and AI agent callsApplies authentication, rate limiting, and audit logs… supports AI governance frameworkCloudNetworks (CEO Heung-gyun Jung) announced that it has signed a partnership with Kong, a global API and AI connectivity company, and will begin supplying "Kong AI Gateway" in Korea.Kong AI Gateway is a solution that supports the integrated management, from a single gateway, of various AI calls occurring within enterprises, including LLM (large language model), MCP (Model Context Protocol), and AI agent calls.As enterprise use of generative AI recently expands beyond the testing stage into actual services and business environments, how to build authentication, access control, usage management, monitoring, and audit systems for AI calls is emerging as a new challenge.In particular, in environments where multiple LLMs, RAG (retrieval-augmented generation), MCP, and AI agents are interconnected, call paths are becoming more complex, making it difficult to apply consistent security policies and operational systems using existing API management methods alone.Managing LLM, MCP, and agent traffic all from the gatewayKong is a company that has provided an API management platform based on the open-source Kong Gateway. Recently, it has been expanding its existing API management scope to include LLM, MCP, and agent-to-agent (A2A) communication.Kong AI Gateway is a product that extends the existing API gateway concept into the AI environment, designed to centrally control, secure, and observe LLM and generative AI API calls.Calls to multiple LLM providers can be managed through a single interface, and it operates on the same runtime as the existing Kong Gateway.Existing API security policies such as authentication/authorization, rate limiting, and audit logs can also be applied to AI calls. It also offers features specialized for AI environments, such as personally identifiable information (PII) removal, prompt control, semantic caching, and AI traffic observability.According to the company, this allows AI security and operational policies that were previously implemented separately in each application to be applied uniformly at the gateway layer.CloudNetworks to provide implementation, integration, and technical supportAlong with supplying Kong AI Gateway, CloudNetworks plans to provide architecture design and implementation tailored to domestic customer environments, integration with existing systems, and technical support.As enterprise AI adoption expands, the importance of a control system that can identify which users and systems are calling which models, manage usage and costs, and track policy violations—not just model performance itself—is also growing.Based on this partnership, CloudNetworks plans to link its existing AI operating environment with the control functions of the gateway layer and expand its AI governance-related business.Heung-gyun Jung, CEO of CloudNetworks, said, "As generative AI is applied to actual business operations, enterprises need to consider not only model performance but also how to control and observe AI calls. Based on our experience building AI operating environments, we will supply Kong AI Gateway to support domestic enterprises in building their AI governance systems."David Carless, Vice President of Kong for Asia Pacific, India, and Japan, said, "This is a point in time when adoption of Kong AI Gateway is gaining momentum among major domestic companies in finance, manufacturing, retail, and other sectors. We will strengthen our cooperation with CloudNetworks to help companies build stable AI governance systems."Source: DailySecu (https://www.dailysecu.com)