Secure Coding For AI Development & Vibe Coders

Secure Coding For AI Development & Vibe Coders

Leverage the productivity gains and innovation from AI-powered coding without exponentially increasing the risk of hidden bugs, security vulnerabilities, and technical debt.

Secure code warrior

Upskill on Secure Development in the New World of AI

Secure Code Warrior supports enterprises transitioning into AI-assisted development practices with highly relevant, upskilling initiatives designed to address gaps in everything from a lack of awareness in working with AI and LLMs and over confidence in AI-generated code being secure to new vulnerabilities associated with AI coding.

Get best-in-class content covering AI/LLM topics for a variety of roles across the SLDC to mitigate risk. From devs and QA to architects and product managers, we’ve got you covered.

Increase productivity
Drive Awareness Around Development with AI/LLM
SQL Injection
From Prompt Engineering and Data Model Poisoning to Sensitive Information Disclosure and Model Theft, we help developers understand the shortcomings of AI generated code, reinforcing how critical it is to ensure developers maintain focus on data security, model integrity, and ethical considerations.
Increase productivity
Stay Up-to-Date When Working with LLMs
Get in-depth details covering recent topics like the NEW 2025 OWASP LLM Top 10 Topics including Supply Chain and Misinformation. Over 20 activities are available from detailed guideline breakdowns and case studies to videos covering the advantages and potential dangers of using AI/LLMs when writing code.
Achieve ROI
Interactive “Coding with AI Assistants” labs
These exercises simulate an environment with an AI coding assistant generating changes in existing code. The task for the developer is to validate these changes by accepting or rejecting the suggestions from an AI solution, or by your co-worker (essentially a Pull Request).
Secure AI coding

Next-Generation Secure Software Development

Mitigate Risk in a World of AI + Developers

With more lines of code being produced faster with less scrutiny, the risk of hidden bugs, security vulnerabilities, and technical debt grows exponentially. This shift makes code review, testing, and secure coding practices more critical than ever, ensuring that speed doesn’t come at the cost of reliability and security. Upskilling developers is the first step to getting better outcomes in an environment where tools like Github Copilot, Cursor AI, Amazon Q Developer and others are being utilized and underscores the need for continued emphasis on secure code education.

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Manage AI Risk with Observability and Governance

Skills initiatives are just the first step to ensuring you are addressing additional risks introduced by AI-assisted coding. SCW Trust Agent™ gives you visibility into the developers working with your code base, and insights into their security skills. You can then configure polices for code repositories to help improve your security posture through proactive governance.

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Measurable Impact Beyond Compliance

Organizations who adopt a proactive approach to secure code best practices that go beyond compliance see tangible business results. Because the most cost effective way to address vulnerabilities is to prevent them from the start. SCW Trust Score™ provides organizations with a way to measure and benchmark the progress of developers’ security skills over time which are particularly important to track in reference to early adoption of AI-driven coding environments.

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Why Secure Code Warrior

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FAQs

Important Highlights Regarding AI-Generated Coding

How has AI-coding impacted developer critical thinking?

AI-assisted development dramatically increases the speed of coding, leading to a surge in the volume of written code. Developers can now generate entire functions, modules, or even applications in seconds, reducing overall development time, but this productivity boost introduces new challenges. 

Research shows that people take AI-generated answers for granted, essentially eliminating any critical thinking process to arrive at the correct answer.

What is “vibe coding"?

AI is enabling a more fluid and intuitive workflow recently referred to as “vibe coding.” This is where developers focus on high-level intent rather than syntax.

How has software development changed with the use of AI?

Modern software developers increasingly leverage AI-powered coding assistants like Cursor AI, Windsurf, Amazon Q Developer and GitHub Copilot to enhance productivity, reduce repetitive tasks, and improve code quality. These tools act as intelligent pair programmers, offering code suggestions and bug fixes. Software creation is becoming more dynamic, more creative, and the skills of a developer must evolve accordingly.

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