خرید و دانلود نسخه کامل کتاب زبان اصلی Artificial Intelligence as a Threat Vector PDF | دانلود کتاب خارجی

آنتونی رابینز میگه : من در 40 سالگی به جایی رسیدم که برای رسیدن بهش 82 سال زمان لازمه و این رو مدیون کتاب خواندن زیاد هستم.

 
Artificial Intelligence (AI) is transforming the modern enterprise at a pace few expected. It fuels automation, strengthens decisions, accelerates innovation, and reshapes how organizations operate. It also opens the door to risks that traditional security and governance models are unable to handle. AI changes how systems behave, how threats form, and how trust is earned. This book explains why these changes matter and how to respond with clarity, discipline, and confidence.The work presents AI as a powerful but unpredictable force that introduces new kinds of exposure. It describes how opaque model behavior weakens accountability, how flawed or poisoned data spreads error across entire systems, and how attackers are already using AI to automate phishing, generate deepfakes, extract models, and manipulate decision workflows. It also brings forward risks inside the enterprise, such as uncontrolled experimentation, hidden AI tools, and decisions made without oversight or documentation.The paper guides readers through this evolving landscape with clear explanations of emerging threats and practical descriptions of how they appear inside real organizations. It shows how synthetic media undermines trust, how prompt injection turns language into an attack surface, and how automated adversaries operate at a scale that overwhelms traditional defenses. It also examines the growing regulatory environment and the responsibilities that come with AI adoption.Most importantly, the paper introduces Integrated Assurance as a strategic response. Instead of treating AI governance as a late checkpoint, it positions assurance as a continuous, collaborative discipline that spans engineering, security, legal, compliance, and operations. It builds a path for organizations that want to innovate without losing control and move quickly without creating unnecessary exposure. Integrated Assurance becomes the structure that links trust, transparency, and resilience to every AI system the enterprise relies on.The result is a guide for leaders, architects, and practitioners who want to understand AI as both an opportunity and a risk. It provides a grounded view of the challenges ahead and a practical model for governing AI with integrity and purpose. This book does not offer fear or hype. It offers clarity. It explains what is changing, what is at stake, and what must be done to build an enterprise that can advance with confidence in an age shaped by intelligent systems.