Securing Generative AI Applications with AWS Bedrock Guardrails

As generative AI becomes central to modern software, securing these applications against unique vulnerabilities is more critical than ever. This text-based course guides you through protecting your systems from emerging AI-specific threats. You will transition from understanding basic security concepts to implementing robust protective measures for large language models, ensuring your applications remain safe, compliant, and reliable. What you'll learn: • Understand foundational generative AI security risks, including prompt injection and data privacy concerns. • Configure AWS Bedrock Guardrails to filter harmful content and block sensitive data exposure. • Implement robust input and output validation strategies tailored for LLM applications. • Apply industry-standard security frameworks, including the OWASP Top 10 for LLM Applications. • Practice designing secure system prompts and safety boundaries through structured written scenarios. The course begins with core terminology and foundational security concepts before moving into step-by-step written guides on configuring Bedrock Guardrails, managing user inputs, and monitoring AI behavior. Designed for software developers, security beginners, and system architects looking to secure AI integrations, this course requires no prior cloud security experience. Start reading today to build safer, more resilient generative AI applications.