GS Neotek Acquires AWS 'Agentic AI Competency,' Expands AI Agent Business
TECHWORLD ·
✦ AI Summary
On the 30th, GS Neotek announced that it had acquired AWS 'Agentic AI Competency.'
The company already holds 'Generative AI Competency' and has secured additional AWS-recognized expertise in the agentic AI field.
With this certification, GS Neotek plans to expand its AI agent business, strengthen AgentOps, and integrate with core enterprise systems such as ERP and CRM.
On the 30th, GS Neotek announced that it had acquired AWS 'Agentic AI Competency.' GS Neotek already held 'Generative AI Competency' and has now secured AWS-recognized expertise in the agentic AI field as well.
The consulting services category of 'Agentic AI Competency' is an AWS partner certification that evaluates a company’s ability to build enterprise AI agents. The certification assesses the ability to design AI agents that reflect business requirements and governance, as well as the ability to deploy systems in real-world environments and operate them reliably.
GS Neotek was evaluated on its methodology for launching AI projects and its criteria for selecting foundation models. Data security, compliance, and responsible AI were also included in the review criteria.
Operational transition and post-support systems were also reflected in GS Neotek’s evaluation. As a result, GS Neotek broadened the scope of its expertise by going through AWS’s partner certification review for agentic AI across multiple criteria, from the start of a project through post-operation support.
The evaluation covered 6 areas across the technology stack, along with security and deployment factors. The 6 technology assessment areas were inference, SDK and framework, interoperability, security, responsible AI, and computing. Security and deployment evaluation items included AWS IAM, Bedrock Guardrails, SSO usage permissions, observability, and the ability to build execution environments based on Bedrock AgentCore, ECS, Lambda, and Fargate.
GS Neotek was validated for its ability to build models using Amazon Bedrock and Amazon SageMaker AI. The company was also validated for agent collaboration and external tool integration technologies based on MCP and A2A. In addition, GS Neotek’s ability to build execution environments based on Bedrock AgentCore, ECS, Lambda, and Fargate was confirmed.
With this certification, GS Neotek plans to expand its AI agent business. The expansion direction goes beyond simple question-and-answer generative AI. The company’s expansion includes integration with core enterprise systems such as ERP and CRM, and its goal is AI agents that can carry out real work.
GS Neotek plans to strengthen its 'AgentOps' framework after deployment. The areas targeted for AgentOps enhancement are agent permissions, execution history, costs, and incident management. This is based on the view that AI agents invoke models and external tools multiple times in the course of handling a single task. In the operational phase, cost management and control over the scope of execution are necessary.
GS Neotek operates a structure in which AI requests are concentrated through its proprietary enterprise LLM gateway, 'ETAGIA.' The gateway is responsible for managing model usage status, API usage status, and cost tracking.
The business scope remains focused on integrating with legacy systems such as ERP and CRM, and the company will not undertake a full overhaul of source systems. For integration, it uses MCP and the Amazon Bedrock AgentCore Gateway. It also connects existing API and Lambda functions by turning them into tools that AI agents can use.
It also supports systems without APIs. To do so, it supports configuring and connecting Lambda for database query functions, as well as configuring and connecting Lambda for batch file integration functions. Initial permissions are applied with a read-only focus, while data changes and approvals, which have a large business impact, are operated under conditions that require human approval. Under this policy, GS Neotek will gradually expand the scope of autonomous execution for agents.
Based on this, GS Neotek plans to expand examples of specialized AI agent deployments for specific business functions. Its key industries are media and gaming, manufacturing, distribution and retail, and energy. Target functions for expansion include customer service, internal knowledge search, and IT operations automation.
The company plans to expand the scope of AI agent-related services to include introduction strategy consulting, implementation based on Amazon Bedrock AgentCore, and integrated operations and management. It also plans to broaden related services based on its proprietary cloud security platform, 'Security Lens.'
The company said it has secured the technology and operational know-how accumulated during this certification process and plans to reflect it in 'Security Lens.' It also plans to develop security agents. Seo Jeong-in, head of GS Neotek's IT Business Division, said that security, permission management, and responsible AI design are essential conditions for achieving tangible business results from agentic AI. He added that the company plans to support enterprise AI agent adoption by combining AWS-recognized technical methodology with cloud operations know-how.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=409025
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Source: TECHWORLD
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