Practical Agentic AI Governance, Compliance, and Runtime Security: Build Auditable, Compliant, and Continuously Protected Autonomous Agents and Multi-Agent Platforms at Enterprise Scale

Deploying AI agents is no longer the hardest part.Keeping them governed, compliant, observable, and secure in production is.As organizations rapidly adopt autonomous agents, multi-agent systems, and AI-powered workflows, many discover that traditional governance and security models were never designed for systems that can make decisions, invoke tools, access sensitive data, and collaborate with other agents autonomously.How do you enforce policies at runtime?How do you maintain continuous compliance across thousands of agent actions?How do you create audit trails that satisfy regulators, security teams, and enterprise stakeholders?How do you detect and contain risky agent behavior before it becomes a business problem?Practical Agentic AI Governance, Compliance, and Runtime Security provides a hands-on blueprint for building governance and runtime protection capabilities that work in real-world enterprise environments.Rather than focusing on theory, this book shows you how to implement governance controls, compliance automation, runtime policy enforcement, observability pipelines, audit frameworks, and operational security mechanisms that can scale across modern AI platforms.Inside, you will learn how to:Build governance control planes for autonomous agents and multi-agent systemsImplement policy-as-code using modern authorization and policy frameworksEstablish continuous compliance programs aligned with leading industry standardsCreate immutable audit trails and enterprise-grade traceability pipelinesDeploy runtime guardrails and enforcement mechanisms for agent actionsMonitor agent behavior and detect anomalies in real timeIntegrate governance and compliance controls into CI/CD workflowsAutomate evidence collection, reporting, and audit preparationBuild incident response and recovery procedures for agent-driven environmentsScale governance programs across cloud, hybrid, and multi-tenant architecturesWhether you are a security engineer, AI platform architect, DevSecOps professional, governance specialist, or technology leader, this book provides practical guidance, implementation patterns, operational playbooks, and proven architectures for governing agentic AI systems at enterprise scale.If your organization is building the next generation of autonomous AI systems, this book will help you move beyond deployment and establish the governance, compliance, and runtime security foundations required for long-term success.Build systems that are not only intelligent, but also auditable, compliant, trustworthy, and continuously protected. Read more