Available for Free Download

NEW YORK CITY, NY / ACCESS Newswire / April 2, 2026 / As enterprises accelerate AI adoption, security teams face mounting pressure to translate innovation into safe, operational reality. A new handbook directly addresses this gap, offering a structured, experience-driven approach to AI security that moves beyond theory and vendor bias toward actionable guidance.

The Enterprise AI Security Handbook, available as a free download. was developed by TAG Infosphere. Its analysts, led by Edward Amoroso, TAG's CEO and a research professor at NYU, collaborated with enterprise security leaders, AI committees, and practitioners to deliver eight chapters that provide a practical, unbiased framework for organizations seeking to securely deploy and manage artificial intelligence at scale.

"The goal of this handbook is simple," said Amoroso. "It's designed to give enterprise security leaders a clear, practical path for securing AI-based on what actually works."

Chapter 1 establishes the foundation by defining AI systems across models, applications, and ecosystems, while highlighting the urgent need for clear, unbiased direction in a rapidly evolving and often confusing market. Building on this, Chapter 2 introduces a comprehensive roadmap for securing AI in the enterprise, outlining six concurrent tasks-from discovery and guardrails to governance and SOC automation-that enable organizations to transition from experimentation to production-scale security.

Chapter 3 focuses on the development of AI security policies, emphasizing alignment with existing enterprise cybersecurity frameworks rather than reinventing them. This practical approach allows organizations to integrate AI securely into established processes with minimal disruption.

In Chapter 4, TAG introduces a risk-tiering methodology that helps enterprises prioritize AI use cases based on business impact and exposure, ensuring that security investments are both efficient and effective. Chapter 5 addresses the growing complexity of managing AI-related identities, including users, services, and autonomous agents, reinforcing the importance of identity-centric security in AI environments.

Chapters 6 and 7 provide critical insights into the AI security vendor landscape and the investment dynamics shaping it. These sections help enterprise buyers navigate a crowded and rapidly changing market, with guidance grounded in real-world evaluation criteria and practitioner needs.

The final chapter features a wide-ranging conversation among three experts who offer their personal perspectives on the evolving future of AI security-and where it may lead.

The Enterprise AI Security Handbook is available now as a free download.

For media inquiries, please contact: Lester Goodman, Director of Content, TAG Infosphere lgoodman@tag-cyber.com; 914-588-1369

About TAG:

TAG utilizes an AI-powered SaaS platform to deliver cutting-edge insights on cybersecurity and artificial intelligence,. The company's unique approach combines technology and expertise to empower organizations with the knowledge needed to navigate these complex landscapes. We provide on-demand recommendations to commercial solution providers and Fortune 500 enterprises.

SOURCE: TAG