Secure Code Warrior shares new insights from its own platform research, comparing AI assistants against human developers in secure coding tasks. The results highlight a key truth: AI can be useful, but without skilled developers to guide, verify, and secure its output, organizations are flying blind. Learn how to easily benchmark and improve developer secure coding skills; implement real-time security validation and gain a roadmap to secure, AI-powered development.

The paper addresses the growing tension between development speed and software security in the age of AI. As tools like GitHub and Copilot and other LLM-powered coding assistants gain traction, they are transforming developer productivity, but not without risk. Explore how the convenience of AI-generated code is often overshadowed by a significant increase in security vulnerabilities, many of which originate from flawed training data or insufficient guardrails.

You will gain a step-by-step strategy to reduce developer risk, improve coding security from the inside out and transform your SDLC into a security-first environment, without sacrificing speed or innovation. Whether you are just starting to explore AI in your dev stack or already using it at scale, this paper will help you lead with confidence, clarity and control.

 

Read the white paper to deep dive into these key topics:
 
1. Uncover the hidden risk of AI generated code:
Understand the security weaknesses that often accompany AI-generated code, and why traditional safeguards fall short

2. Boost developer security readiness:
Learn how verified secure coding skills can turn developers into your first and strongest line of defense even when using AI

3. Secure your SDLC from the ground up:
Get a framework to integrate role specific learning, real-time validation, and automated guardrails throughout your pipeline

4. Lead AI innovative without compromise:
Access research-driven insights and practice steps to build a secure, AI-ready development culture across your teams