AI 시대의 시큐어 코딩: 새로운 인터랙티브 AI 챌린지에 도전해 보세요
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
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AI 지원 코딩은 개발을 변화시키고 있습니다.새로운 CoPilot 스타일 AI 챌린지를 사용해 실제 워크플로우에서 코드를 안전하게 검토, 분석 및 수정하세요.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Secure Code Warrior는 전체 소프트웨어 개발 라이프사이클에서 코드를 보호하고 사이버 보안을 최우선으로 생각하는 문화를 조성할 수 있도록 조직을 위해 여기 있습니다.AppSec 관리자, 개발자, CISO 또는 보안 관련 누구든 관계없이 조직이 안전하지 않은 코드와 관련된 위험을 줄일 수 있도록 도와드릴 수 있습니다.
데모 예약
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST. She’s passionate about making secure development and compliance more practical and approachable for technical teams, bridging the gap between security expectations and the realities of modern software development.
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
아래 링크를 클릭하고 이 리소스의 PDF를 다운로드하십시오.
Secure Code Warrior는 전체 소프트웨어 개발 라이프사이클에서 코드를 보호하고 사이버 보안을 최우선으로 생각하는 문화를 조성할 수 있도록 조직을 위해 여기 있습니다.AppSec 관리자, 개발자, CISO 또는 보안 관련 누구든 관계없이 조직이 안전하지 않은 코드와 관련된 위험을 줄일 수 있도록 도와드릴 수 있습니다.
보고서 보기데모 예약
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST. She’s passionate about making secure development and compliance more practical and approachable for technical teams, bridging the gap between security expectations and the realities of modern software development.
AI-assisted coding isn’t coming – it’s already here. Development teams everywhere are adopting tools like GitHub Copilot to accelerate delivery, and this shift is happening fast. Gartner predicts that by 2028, 90% of enterprise software engineers will regularly use AI coding assistants, up from just 14% in early 2024.
While AI tools make writing code faster, they also change the way developers work. As AI takes on more of the authoring, developers are spending more time reviewing, analyzing, and fixing code generated by machines. Yet many developers lack the specific security skills needed to perform these reviews effectively. This growing knowledge gap introduces new risks, and underscores the urgent need to build security proficiency as a core part of modern code review.
A Hands-On Way to Build Secure Review Skills
That’s why we’ve redesigned our AI Challenges with a brand-new Copilot-style experience: a hands-on way for developers to practice and strengthen those secure review skills in realistic workflows. These interactive challenges mirror the real-world workflows developers are already using in their IDEs with AI tooling, helping them practice secure review skills in context.
Instead of only reviewing pull requests, learners now interact with a simulated AI coding assistant named Obi that generates code for them to review, analyze, and fix – just like coding in the real world.
Here’s what makes the new AI Challenges different:
- A streamlined, intuitive UI – Obi, the simulated AI coding assistant, guides the experience, generating realistic code snippets that challenge developers to think critically about security.
- Structured, step-by-step learning – Move through Locate → Impact → Fix to build repeatable skills.
- Built-in learning feedback – No hidden answers. Learners always leave with the full context and clear takeaways.
- Focused challenges – Less noise, more learning. Only the code and information you need to solve each activity.
AI-assisted coding is transforming software development, and secure code review is quickly becoming one of the most critical skills for developers. The faster code is generated, the faster vulnerabilities can slip into production – unless teams are equipped to spot, understand, and fix security issues early.
Our Copilot-style AI Challenges, guided by Obi, are designed to make those skills second nature. It’s a modern, interactive, and effective way to prepare developers for the future of secure coding.
Try the new Copilot-Style AI Challenges today or Learn More here: How to play an AI Challenge.
목차
Shannon Holt is a cybersecurity product marketer with a background in application security, cloud security services, and compliance standards like PCI-DSS and HITRUST.
Secure Code Warrior는 전체 소프트웨어 개발 라이프사이클에서 코드를 보호하고 사이버 보안을 최우선으로 생각하는 문화를 조성할 수 있도록 조직을 위해 여기 있습니다.AppSec 관리자, 개발자, CISO 또는 보안 관련 누구든 관계없이 조직이 안전하지 않은 코드와 관련된 위험을 줄일 수 있도록 도와드릴 수 있습니다.
데모 예약다운로드시작하는 데 도움이 되는 리소스
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Threat Modeling with AI: Turning Every Developer into a Threat Modeler
Walk away better equipped to help developers combine threat modeling ideas and techniques with the AI tools they're already using to strengthen security, improve collaboration, and build more resilient software from the start.
