Securing AI with Deterministic Trust Engineering

Trustworthy AI by Sandeep Shilawat, which addresses the critical shift toward secure and sovereign artificial intelligence in 2026. The author argues that traditional safety measures are insufficient because AI operates on probabilistic influence rather than deterministic control, creating a "dangerous middle" where systems are unpredictable under pressure. To combat these vulnerabilities, the sources introduce the TIVM Framework and advocate for a Zero Trust architecture that utilizes continuous red teaming and automated AI judges. The text serves as a strategic manual for leaders to move beyond "vibe-based" safety toward quantifiable operational assurance. Ultimately, the book outlines a blueprint for building sovereign intelligence that remains resilient against sophisticated linguistic attacks and adversarial manipulation.