Securing AI-Driven Business Workflows: A Practical Playbook for Protecting AI Agents and Enterprise Systems

· Liam Grandy
1 review
Ebook
182
Pages
Tools
Eligible

About this ebook

The future of business belongs to AI—but only if it's secure.

Artificial intelligence is transforming how organisations automate decisions, streamline operations, and power intelligent business workflows. Yet every AI agent, API, large language model (LLM), retrieval system, and cloud integration introduces new security risks that traditional cybersecurity strategies were never designed to handle.

Securing AI-Driven Business Workflows is your practical guide to building, deploying, and protecting enterprise AI systems with confidence. Whether you're implementing AI-powered automation, integrating generative AI into existing business processes, or designing enterprise-grade AI architectures, this book equips you with the knowledge and strategies to secure every layer of the AI ecosystem.

Rather than focusing solely on theory, this comprehensive playbook delivers practical guidance for protecting AI agents, enterprise applications, APIs, cloud environments, data pipelines, and intelligent workflows against evolving cyber threats. You'll learn how modern security principles—including Zero Trust, governance, identity management, monitoring, and risk mitigation—can be applied to AI-driven business environments to ensure resilience, compliance, and operational trust.

Perfect for cybersecurity professionals, enterprise architects, IT leaders, AI engineers, cloud specialists, business decision-makers, and technology consultants, this book bridges the gap between artificial intelligence innovation and enterprise security.

Inside this book, you'll discover how to:

Secure AI-driven business workflows from design through deployment.

Protect AI agents, large language models (LLMs), and enterprise AI applications.

Build secure AI architectures using Zero Trust security principles.

Safeguard APIs, cloud infrastructure, enterprise data, and retrieval systems.

Identify and mitigate emerging AI security threats and attack vectors.

Implement governance, policy enforcement, identity management, and access controls.

Strengthen compliance, monitoring, logging, and continuous security validation.

Reduce organisational risk while accelerating AI adoption with confidence.

Establish security best practices for scalable, resilient enterprise AI systems.

Future-proof your organisation against the evolving cybersecurity challenges of the AI era.

Whether you're leading digital transformation, deploying intelligent automation, modernising enterprise infrastructure, or strengthening organisational cyber resilience, this book provides a practical roadmap for securing AI technologies without sacrificing innovation.

AI is reshaping every industry. Make security your competitive advantage.

Start building AI systems your organisation can trust—get your copy of Securing AI-Driven Business Workflows today and lead the next generation of secure, intelligent enterprise innovation.

The future of business belongs to AI—but only if it's secure. Artificial intelligence is transforming how organisations automate decisions, streamline operations, and power intelligent business workflows. Yet every AI agent, API, large language model (LLM), retrieval system, and cloud integration...

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Ratings and reviews

1 review
Lynn Hollister
October 2, 2026
Does a great job explaining the real risks; prompt injection, data leaks, agents getting too much power, and gives practical checklists you can actually use. Clear, no fluff, and feels like advice from someone who’s been there. One of the most helpful books I’ve read on this topic. Definitely recommend.
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