About the Author

Munib Shah is a Principal Architect specializing in security, AI, and cloud infrastructure. With over [X] years of experience in enterprise security architecture, they have helped organizations across financial services, healthcare, technology, and government navigate the intersection of emerging technology and security risk.

Their work focuses on the architectural foundations of security—trust boundaries, data flows, identity systems, and the organizational structures that make security effective. They are known for a practitioner-focused approach that prioritizes architectural rigor over compliance theater and systems thinking over tool adoption.

Before focusing on AI security, Munib Shah led security architecture initiatives for large-scale cloud migrations, zero-trust transformations, and DevSecOps programs. This background informs their conviction that AI security is not a new discipline but an extension of security fundamentals to a new class of systems.

Munib Shah speaks regularly at industry conferences on security architecture, AI risk, and the gap between security programs and security outcomes. They advise organizations on AI security strategy and architecture and contribute to industry working groups on AI security standards.

They hold 3 CCIE certifications in Security, Data Center and Enterprise Networks.

When not thinking about attack surfaces and trust boundaries, Munib Shah [personal interest that humanizes the author].

Contact

• Website: [author website]
• LinkedIn: [LinkedIn profile]
• Email: [professional email]

The author welcomes feedback on this book and conversations about AI security architecture. Especially if you disagree—that's where the best learning happens.