AI Trust, Risk, and Security Management

The 1st Edition of AI Trust, Risk, and Security Management is a textbook authored by R. Karthick Manoj focusing on artificial intelligence risk governance. This work details the AI Trust, Risk, and Security Management framework, establishing principles and implementation practices for managing operational and systemic threats across modern artificial intelligence platforms.

The text systematically examines primary security vulnerabilities that compromise machine learning systems during active deployment. The thematic coverage addresses technical safeguards, organizational practices, and regulatory alignment, offering analytical perspectives to evaluate algorithmic bias, data misuse, adversarial attacks, and opaque decision-making.

To bridge theoretical frameworks and practical implementation, the volume features real-world case studies alongside specialized insights from both academic researchers and industry practitioners. This structural progression supports AI and machine learning engineers, data scientists, cybersecurity specialists, and risk management personnel seeking to analyze emerging threat vectors.