Key Point
Saramin, Korea's leading career matching platform, addresses the conflicting demands of strict security policies and the use of AI development tools with a VPC endpoint-based private network, achieving both security and productivity.
The Client
Saramin is Korea's leading career matching platform, connecting people and jobs based on big data and matching technology developed over 20 years, under the mission of "A Happiness Bridge Connecting People and Jobs."
1. The Platform Chosen by 1 in 3 Koreans
With over 15 million individual members and 1.2 million corporate members, Saramin is the platform that connects 1 in 3 Koreans to their careers. It's an all-round platform that provides all the solutions you need for job hunting and recruiting!
2. Perfect Matching from Talent Verification to AI Recommendations
From talent verification to HR content essential for job seekers and HR managers, and AI recommendation technology that seamlessly connects them, Saramin offers solutions for every customer, regardless of position. With essential employment information like company information, salary information, and interview reviews, we support job seekers in making better choices!
3. Expanding Career Ecosystem with Professional Services
We offer a variety of professional services centered around our core platform. We meet the specialized needs of each field through services like "Jumpit," a developer job platform, and "Reverse," an ATS that facilitates a simple and accurate recruitment process. We also provide recruitment consulting services for public institutions and public corporations, and maintain our unrivaled leadership in the public recruitment agency market!
The Challenge
1. Security vs. Productivity: The Dilemma of Conflicting Requirements
Saramin faced the complex challenge of simultaneously adhering to strict security policies while increasing the need for AI-based coding tools in its development environment. While it wanted to utilize Amazon Q Developer to improve development productivity, it desperately needed a reliable solution that could be used without accessing the public internet.
2. Security Constraints of a Large-Scale Personal Information Processing Company
Existing AI coding agents, such as GitHub Copilot and Cursor, all required connection to cloud services via external internet networks, posing significant security constraints. Platform companies like Saramin, which handle large amounts of personal information, had strict security policies in place to fundamentally prevent the risk of source code or development environments being exposed to external parties.
3. Essential Requirements for an Audit Response System
Even with the introduction of AI coding tools, an audit response system capable of systematically logging and managing developer activity history was essential. To meet various regulations and compliance requirements, such as the Personal Information Protection Act and information security management system certification, detailed tracking and auditing of who, when, and what code was created and modified using AI tools was essential.
4. Lack of Enterprise-Grade Functionality in Existing AI Tools
Existing AI coding tools lacked these enterprise-grade auditing capabilities, posing additional barriers to adoption. It was a mission impossible situation, requiring both security and productivity to be achieved!
The Solution
1. V Innovation in Private Networking Based on VPC Endpoints
To simultaneously meet Saramin's security requirements and AI coding tool utilization needs, we developed an innovative solution that connects Amazon Q Developer to a private network configuration based on VPC endpoints!
2. Complete Blocking of Public Internet Access, Zero Security Risks
This approach allows us to safely utilize all the features of Amazon Q Developer without traversing the public internet in our development environment. By utilizing VPC endpoints, communication is restricted to AWS's private network, eliminating the risk of external network exposure!
3. Complete Auditing System Based on Amazon S3
To ensure security and meet critical audit and compliance requirements, we enabled prompt logging in Amazon S3 and built a system that systematically stores and manages all Amazon Q Developer usage history!
4. Complete Transparency and Traceability
This allows developers to keep detailed records of when and what prompts they entered, and what code the AI generated, ensuring the transparency and traceability necessary for information security audits and compliance!
5. Complete Satisfaction of Enterprise-Grade Security Requirements
This architecture allowed us to successfully implement an AI development environment that meets enterprise-grade security requirements while overcoming the security limitations of existing external AI coding tools like GitHub Copilot and Cursor!
6. Continuous Updates and Automatic Security Patches
By leveraging Amazon Q Developer, AWS's managed service, continuous updates and security patches are automatically applied, ensuring stable and up-to-date AI coding support. All activities are conducted within a private network, minimizing the risk of data leakage.
The Result
1. Free Use of AI Tools in a Completely Blocked Environment
By configuring a private network based on VPC endpoints, Saramin has created an innovative development environment that allows the free use of AI-based development tools even in a secure environment with complete blockage of external networks. Developer productivity has been significantly improved by enabling the introduction of cutting-edge AI coding technologies previously unavailable due to security policies!
2. Achieving Compliance with a Perfect Tracking System
For security audits and compliance, a prompt-by-prompt logging system based on Amazon S3 has been used to establish a complete tracking system for all AI tool usage. Detailed records of when and which prompts were entered by each user, as well as the generated code, are systematically maintained, ensuring the transparency and accountability necessary for compliance with various regulations!
3. Perfect Balance of Security and Development Efficiency
The most important achievement is the successful establishment of a balanced structure that satisfies the conflicting requirements of both security and development efficiency! In the past, there was a dilemma: either sacrifice development productivity for security, or take security risks for productivity. Now, we've created an optimal development environment that achieves both goals simultaneously!
Key Point
Saramin, Korea's leading career matching platform, addresses the conflicting demands of strict security policies and the use of AI development tools with a VPC endpoint-based private network, achieving both security and productivity.
The Client
Saramin is Korea's leading career matching platform, connecting people and jobs based on big data and matching technology developed over 20 years, under the mission of "A Happiness Bridge Connecting People and Jobs."
1. The Platform Chosen by 1 in 3 Koreans
With over 15 million individual members and 1.2 million corporate members, Saramin is the platform that connects 1 in 3 Koreans to their careers. It's an all-round platform that provides all the solutions you need for job hunting and recruiting!
2. Perfect Matching from Talent Verification to AI Recommendations
From talent verification to HR content essential for job seekers and HR managers, and AI recommendation technology that seamlessly connects them, Saramin offers solutions for every customer, regardless of position. With essential employment information like company information, salary information, and interview reviews, we support job seekers in making better choices!
3. Expanding Career Ecosystem with Professional Services
We offer a variety of professional services centered around our core platform. We meet the specialized needs of each field through services like "Jumpit," a developer job platform, and "Reverse," an ATS that facilitates a simple and accurate recruitment process. We also provide recruitment consulting services for public institutions and public corporations, and maintain our unrivaled leadership in the public recruitment agency market!
The Challenge
1. Security vs. Productivity: The Dilemma of Conflicting Requirements
Saramin faced the complex challenge of simultaneously adhering to strict security policies while increasing the need for AI-based coding tools in its development environment. While it wanted to utilize Amazon Q Developer to improve development productivity, it desperately needed a reliable solution that could be used without accessing the public internet.
2. Security Constraints of a Large-Scale Personal Information Processing Company
Existing AI coding agents, such as GitHub Copilot and Cursor, all required connection to cloud services via external internet networks, posing significant security constraints. Platform companies like Saramin, which handle large amounts of personal information, had strict security policies in place to fundamentally prevent the risk of source code or development environments being exposed to external parties.
3. Essential Requirements for an Audit Response System
Even with the introduction of AI coding tools, an audit response system capable of systematically logging and managing developer activity history was essential. To meet various regulations and compliance requirements, such as the Personal Information Protection Act and information security management system certification, detailed tracking and auditing of who, when, and what code was created and modified using AI tools was essential.
4. Lack of Enterprise-Grade Functionality in Existing AI Tools
Existing AI coding tools lacked these enterprise-grade auditing capabilities, posing additional barriers to adoption. It was a mission impossible situation, requiring both security and productivity to be achieved!
The Solution
1. V Innovation in Private Networking Based on VPC Endpoints
To simultaneously meet Saramin's security requirements and AI coding tool utilization needs, we developed an innovative solution that connects Amazon Q Developer to a private network configuration based on VPC endpoints!
2. Complete Blocking of Public Internet Access, Zero Security Risks
This approach allows us to safely utilize all the features of Amazon Q Developer without traversing the public internet in our development environment. By utilizing VPC endpoints, communication is restricted to AWS's private network, eliminating the risk of external network exposure!
3. Complete Auditing System Based on Amazon S3
To ensure security and meet critical audit and compliance requirements, we enabled prompt logging in Amazon S3 and built a system that systematically stores and manages all Amazon Q Developer usage history!
4. Complete Transparency and Traceability
This allows developers to keep detailed records of when and what prompts they entered, and what code the AI generated, ensuring the transparency and traceability necessary for information security audits and compliance!
5. Complete Satisfaction of Enterprise-Grade Security Requirements
This architecture allowed us to successfully implement an AI development environment that meets enterprise-grade security requirements while overcoming the security limitations of existing external AI coding tools like GitHub Copilot and Cursor!
6. Continuous Updates and Automatic Security Patches
By leveraging Amazon Q Developer, AWS's managed service, continuous updates and security patches are automatically applied, ensuring stable and up-to-date AI coding support. All activities are conducted within a private network, minimizing the risk of data leakage.
The Result
1. Free Use of AI Tools in a Completely Blocked Environment
By configuring a private network based on VPC endpoints, Saramin has created an innovative development environment that allows the free use of AI-based development tools even in a secure environment with complete blockage of external networks. Developer productivity has been significantly improved by enabling the introduction of cutting-edge AI coding technologies previously unavailable due to security policies!
2. Achieving Compliance with a Perfect Tracking System
For security audits and compliance, a prompt-by-prompt logging system based on Amazon S3 has been used to establish a complete tracking system for all AI tool usage. Detailed records of when and which prompts were entered by each user, as well as the generated code, are systematically maintained, ensuring the transparency and accountability necessary for compliance with various regulations!
3. Perfect Balance of Security and Development Efficiency
The most important achievement is the successful establishment of a balanced structure that satisfies the conflicting requirements of both security and development efficiency! In the past, there was a dilemma: either sacrifice development productivity for security, or take security risks for productivity. Now, we've created an optimal development environment that achieves both goals simultaneously!