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Engineering Trustworthy AI: Accuracy Is Not Enough
This book is 100% completeLast updated on 2026-04-13
Is your AI-driven success a ticking time bomb? We’ve been told that "data is the new oil," but we weren't told how easily it could catch fire. When a security AI fails, it doesn't just throw an error; it changes user behavior, creates shadow IT workarounds, and invites adversarial attacks. In his new book, Engineering Trustworthy AI , Olaitan Almaroof reveals the "Trust Stack" framework Safety,…
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In the race to deploy artificial intelligence, we have become obsessed with the "Confusion Matrix." We celebrate 99% accuracy scores while ignoring the reality that models are brittle, probabilistic, and prone to "Adversarial Decay." In high-stakes industries, from Fintech to Healthcare, a 1% error isn't just a statistic; it’s a systemic failure that can freeze capital, leak private data, or ruin a brand’s reputation overnight.
Engineering Trustworthy AI is the definitive playbook for moving beyond the lab and into the real world. Written for Principal Engineers, CTOs, and Risk Officers, this book introduces the Trust Stack: a three-tiered framework of Safety, Security, and Sovereignty. Inside, you will discover:
- Why Accuracy is a Vanity Metric: How to bridge the "Reliability Gap" between test scores and production reality.
- Defensive Engineering: Technical deep dives into hardening models against prompt injection, data poisoning, and model inversion.
- The Architecture of Integrity: How to implement "Fairness Circuit Breakers" and "Red-Button" kill switches for autonomous agents.
- Governance that Scales: Moving from toothless ethics checklists to automated CI/CD compliance with the NIST AI RMF and EU AI Act.
Stop building AI you can merely demonstrate. Start building AI you can trust.
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About the Author
Olaitan Almaroof
I am a Cloud Security Architect and Cybersecurity Engineer dedicated to engineering secure, scalable, and resilient environments. With over eight years of experience, I specialize in transforming cybersecurity from a defensive necessity into a strategic catalyst for business growth. My expertise is built upon a solid foundation in software development, which allows me to approach security challenges with a deep understanding of the underlying code and system architecture.
Currently, as the Microsoft 365 Specialist at Climb Global, I lead initiatives centered on AI integration, security, and productivity scaling. I help organizations leverage intelligent automation to optimize operations while maintaining a rigorous Zero Trust posture.
Prior to my current role, I served as a Cybersecurity Engineer and Team Lead at Signal Alliance, where my core focus was securing cloud environments for large enterprise environments. During this time, I led a high-performing team in architecting Azure security frameworks, utilizing Microsoft Defender and Azure Sentinel to protect complex hybrid and multi-cloud infrastructures.
I believe a robust security strategy requires a balance of technical precision and practical implementation. I am driven by the challenge of staying ahead of evolving threats and welcome connections regarding cloud transformation, AI-driven productivity, or the future of digital defense.
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