Agentic AI Governance: Managing Autonomous AI Systems and Workflow Automation Risk (Enterprise AI Governance Series)

Agentic AI Governance: Managing Autonomous AI Systems and Workflow Automation Risk

PART I & II: Foundations, Frameworks & Critical Security Controls

Why This Book Is Essential NOW

The window for proactive governance is closing. Organizations are deploying agentic AI systems at breakneck speed—often without understanding the unique risks or having appropriate controls in place. By the time a major incident occurs, the damage to reputation, finances, and regulatory standing may be irreversible.

This book gives you:

✓ Practical frameworks that work in real enterprise environments, not just theory
✓ Ready-to-implement templates that accelerate your governance program from months to weeks
✓ Battle-tested strategies from early adopters who learned hard lessons so you don't have to
✓ Clear action plans for each governance domain, eliminating analysis paralysis
✓ Risk prioritization guidance so you can focus on what matters most first

Who This Book Is For

Chief Information Security Officers (CISOs) responsible for protecting against autonomous AI threats
Chief AI Officers and AI Governance Leaders building enterprise AI programs
Risk Management Professionals assessing and mitigating agentic AI risks
Compliance Officers navigating evolving regulations for autonomous systems
Enterprise Architects designing secure, governed AI infrastructures
IT Leaders and Engineering Managers deploying agentic AI solutions
Legal and Ethics Teams establishing accountability frameworks
What Makes This Guide Different

Unlike generic AI governance resources, this book addresses the specific challenges of autonomous agents—systems that can chain together multiple actions, access various tools, communicate with other agents, and make consequential decisions without human intervention at each step.

You'll get:

Specificity: Focused exclusively on agentic AI governance, not general AI ethics
Actionability: Every chapter includes concrete templates, checklists, and implementation guides
Comprehensiveness: Covers technical security, regulatory compliance, organizational design, and operational procedures
Practicality: Based on real-world implementations, not theoretical frameworks
Current: Reflects 2025 regulatory environment and latest threat vectors
Coming Soon: Part III (Operational Governance and Monitoring)

This volume (Part I & II) provides the foundation and security controls. Part III will cover Chapters 11-20, including:

Agent registry and inventory management
Continuous monitoring and observability
Human oversight and intervention protocols
Incident response planning
Accountability and liability frameworks
Multi-agent systems governance
Workforce upskilling and vendor management
Future-proofing strategies
Together, these volumes provide the complete roadmap for enterprise agentic AI governance.

Start Building Your Governance Program Today

The organizations that will thrive in the agentic AI era are those that establish robust governance frameworks before deployment, not after incidents force reactive measures.

Part I & II gives you everything you need to:

1. Understand the unique risks of autonomous AI systems

2. Build a comprehensive governance framework

3. Implement critical security controls

4. Deploy templates and tools immediately

5. Navigate regulatory requirements confidently