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Kniha Cybersecurity for AI Ethan Vale

Cybersecurity for AI

The Complete Cybersecurity Guide for Building, Deploying, and Protecting AI, LLM, RAG, Agentic AI, and Machine Learning Systems

Autor: Ethan Vale
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Independently published
Dostupnosť: Skladom u dodávateľa
Odosielame za 9-15 dní
11.95 €
Artificial Intelligence is transforming every industry.But most organizations are deploying AI faste...

Informácie o knihe

Autor
Ethan Vale
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
182
EAN
9798181742659
Enbook ID
52864889
Vydavateľ
Independently published
Hmotnosť
253
Rozmery
152 x 229 x 10

Kompletný popis

Artificial Intelligence is transforming every industry.

But most organizations are deploying AI faster than they can secure it.

From prompt injection and model poisoning to RAG vulnerabilities, agentic AI risks, supply chain attacks, and AI governance challenges, modern AI systems introduce an entirely new security landscape that traditional cybersecurity practices were never designed to address.

The question is no longer whether your organization will use AI.

The question is whether your AI systems can be trusted.

In Securing AI, Ethan Vale provides a practical and comprehensive guide to protecting modern AI and machine learning environments. Written for developers, architects, CTOs, security leaders, product managers, and technology teams, this book explains how to build secure AI systems from design through deployment.

Inside you'll learn:

  • The OWASP LLM Top 10 and emerging AI security threats
  • Prompt injection attacks and practical defenses
  • RAG security and knowledge-base protection
  • AI agent and MCP security best practices
  • Model poisoning and training data attacks
  • Secure system prompt design
  • AI API security and authentication controls
  • Multi-tenant AI application security
  • AI monitoring, logging, and observability
  • AI governance and risk management
  • EU AI Act, GDPR, and NIST AI RMF compliance
  • Secure AI Development Lifecycle implementation
  • Real-world AI security case studies and frameworks
Unlike theoretical AI books, this guide focuses on practical implementation, real-world threats, and actionable controls that organizations can apply immediately.

Whether you are building AI products, integrating large language models, deploying enterprise copilots, or managing AI risk across your organization, this book provides the security foundation needed to build trustworthy AI systems.

The future belongs to organizations that can deploy AI securely.

This book shows you how.