Secure Coding in the Age of AI: Try Our New Interactive AI Challenges
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-assisted coding is changing development. Try our new Copilot-style AI Challenges to review, analyze, and fix code securely in realistic workflows.
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 Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demo
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.
Click on the link below and download the PDF of this resource.
Secure Code Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
View reportBook a demo
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.
Table of contents
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 Warrior is here for your organization to help you secure code across the entire software development lifecycle and create a culture in which cybersecurity is top of mind. Whether you’re an AppSec Manager, Developer, CISO, or anyone involved in security, we can help your organization reduce risks associated with insecure code.
Book a demoDownloadResources to get you started
The Power of OpenText Application Security + Secure Code Warrior
OpenText Application Security and Secure Code Warrior combine vulnerability detection with AI Software Governance and developer capability. Together, they help organizations reduce risk, strengthen secure coding practices, and confidently adopt AI-driven development.
Secure Code Warrior corporate overview
Secure Code Warrior is an AI Software Governance platform designed to enable organizations to safely adopt AI-driven development by bridging the gap between development velocity and enterprise security. The platform addresses the "Visibility Gap," where security teams often lack insights into shadow AI coding tools and the origins of production code.
Secure code training topics & content
Our industry-leading content is always evolving to fit the ever changing software development landscape with your role in mind. Topics covering everything from AI to XQuery Injection, offered for a variety of roles from Architects and Engineers to Product Managers and QA. Get a sneak peek of what our content catalog has to offer by topic and role.
Cyber Resilience Act (CRA) Aligned Learning Pathways
SCW supports Cyber Resilience Act (CRA) readiness with CRA-aligned Quests and conceptual learning collections that help development teams build the Secure by Design, SDLC, and secure coding skills aligned with the CRA’s secure development principles.
Resources to get you started
Observe and Secure the ADLC: A Four-Point Framework for CISOs and Development Teams Using AI
While development teams look to make the most of GenAI’s undeniable benefits, we’d like to propose a four-point foundational framework that will allow security leaders to deploy AI coding tools and agents with a higher, more relevant standard of security best practices. It details exactly what enterprises can do to ensure safe, secure code development right now, and as agentic AI becomes an even bigger factor in the future.
