The rise of generative AI and cloud-native technologies is escalating cybersecurity concerns, as organizations strive to secure increasingly complex cloud applications against expanding attack surfaces. While generative AI offers the promise of faster development and increased productivity, it simultaneously presents new security challenges that DevSecOps teams must address. Current practices often leave a significant portion of security events unexplored, leading to delays in understanding breaches. To combat these issues, organizations are merging observability with security data, providing real-time visibility that enhances threat detection and response capabilities. AI is being leveraged to automate and accelerate DevSecOps processes, enabling proactive threat management and data privacy protection. As multicloud environments grow in complexity, they pose additional security challenges, necessitating a unified observability and security strategy to streamline threat detection and remediation. This approach empowers organizations to maintain a robust security posture by utilizing AI to prioritize threats and automate responses, ultimately enhancing cyber resilience and reducing the mean time to repair issues.