Summary

In this chapter, we delved into essential aspects of cloud security, leveraging Python SDKs for leading cloud providers and addressing the risks associated with hardcoded sensitive data. We explored practical implementations using AWS and Azure SDKs and demonstrated the utilization of GPT LLM models for detecting such vulnerabilities. Furthermore, we introduced Prowler for comprehensive security auditing and emphasized proactive security measures. Automating the transmission of critical findings via webhooks showcased the integration of security tools into operational workflows. Transitioning to serverless architecture and IaC, we underscored their transformative benefits while shedding light on the security challenges they pose. Understanding these challenges is crucial for fortifying cloud environments against emerging threats and ensuring robust security practices.

We will embark on a journey to explore the creation of automated security pipelines using Python and third...