The recent surge in generative AI, exemplified by tools like ChatGPT, has significantly impacted various sectors by enhancing productivity and enabling tasks such as automated product descriptions, live customer chats, and fraud detection in financial services. However, the Black Hat 2023 agenda highlights the dual nature of generative AI, which, while advancing security technology, also introduces sophisticated threats. To address these challenges, pairing generative AI with causal AI is recommended for more reliable decisions and enhanced cybersecurity. This strategy can improve data quality and provide a robust foundation for identifying and resolving security threats. Additionally, integrating AI into security practices, such as DevSecOps, enhances real-time threat detection and response, helping organizations protect against vulnerabilities, including zero-day attacks. The application of AI in cybersecurity is crucial for managing the complexities of cloud-native environments, where traditional security measures often fall short, and underscores the importance of observability and automation in proactive defense strategies.