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Mohammed is a security and DevSecOps professional with deep experience helping organizations strengthen their security posture across modern, cloud-native environments. His work centers on bridging security, engineering, and operations to enable scalable, resilient, and secure systems in complex enterprise ecosystems.
He is an active contributor to the global technology community and a frequent speaker at leading industry conferences and platforms, including DEF CON, Black Hat, KubeCon (Paris), ISACA, IANS, and Wallarm, among others. He is also regularly invited to serve as a technical session judge, where he brings practical insight and industry rigor to evaluating emerging ideas and innovations.
He maintains strong ties with academia and thought leadership. He contributes research associated with Harvard University, publishing work that advances discussions on modern security practices, governance, and risk management. He is a member of the Harvard Business Review Advisory Council, where he supports collaboration between industry and academia and promotes knowledge sharing and innovation.
His work has a global dimension through his role on the Global Advisory Board of VigiTrust Limited (Dublin, Ireland), where he contributes to international strategies in cybersecurity, data protection, and risk management. He holds numerous industry certifications that reflect the breadth and depth of his expertise in security and cloud technologies.
He is the author of Cloud-Native DevOps, a practical guide to building scalable, reliable, and secure cloud-native applications. The book draws on real-world experience to cover modern DevOps and DevSecOps practices, containers, CI/CD pipelines, and security integration in cloud-native architectures.
His areas of focus include cybersecurity, cloud-native technologies, DevSecOps, risk management, and the role of AI in cloud-native ecosystems. Beyond his professional work, he brings a range of interests and perspectives that inform his leadership and thought leadership.
Artificial Intelligence is rapidly becoming the cornerstone of modern cybersecurity strategy. This session provides a comprehensive overview of how AI and machine learning are applied across the cybersecurity lifecycle - from threat intelligence and anomaly de ...
MCP (Model Context Protocol) is the standard that lets AI models talk to external tools and data sources. Think of it as the plumbing that connects your AI assistant to your company's actual systems - file storage, databases, APIs, internal services. It is pow ...