AI software governance and developer security training provider Secure Code Warrior has inked a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to launch new, interactive training modules within the Secure Code Warrior platform.
The new modules let developers and engineers build "secure by design" habits, as well as maintain continuous risk awareness and secure operational practices for Amazon Bedrock, a platform for building generative AI applications and agents at production scale.
Secure Code Warrior has developed hands-on activities focused on securing infrastructure as code for Amazon Bedrock using Terraform. These Bedrock-specific secure coding modules aim to help developers understand and mitigate risks unique to AI and LLM-based applications, including prompt injection, excessive agency, insufficient logging, and information exposure.
The new content includes four coding labs, four AI challenges, and one walkthrough mission, which provide developers with controlled, direct risk exposure in an interactive environment.
“As organizations continue to adopt generative AI applications and tools, an inherent level of risk is introduced - but this risk dramatically increases when developers are not properly educated on the tools and platforms they are leveraging," said Pieter Danhieux, Secure Code Warrior cofounder and chief executive.
“Developers need more than theoretical guidance; they require practical experience in identifying and mitigating real-world threats. By [entering] this SCA with AWS to deliver hands-on training for Amazon Bedrock, we’re helping enterprise teams learn to confidently address AI vulnerabilities and red flags so that they can build AI applications that are secure by default."
"Australian organisations are moving fast with generative AI and we believe security should accelerate this momentum, not slow it down," said Pip Gilbert, AWS' ANZ head of partners.
"Our strategic collaboration with Secure Code Warrior gives developers building on Amazon Bedrock practical, hands-on training to identify and mitigate real-world AI risks, from prompt injection to data exposure."




