Practical Agentic AI Governance, Compliance, and Runtime Security: Build Auditable, Compliant, and Continuously Protected Autonomous Agents and Multi-Agent Platforms at Enterprise Scale - Softcover
Synopsis
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 systems
- Implement policy-as-code using modern authorization and policy frameworks
- Establish continuous compliance programs aligned with leading industry standards
- Create immutable audit trails and enterprise-grade traceability pipelines
- Deploy runtime guardrails and enforcement mechanisms for agent actions
- Monitor agent behavior and detect anomalies in real time
- Integrate governance and compliance controls into CI/CD workflows
- Automate evidence collection, reporting, and audit preparation
- Build incident response and recovery procedures for agent-driven environments
- Scale governance programs across cloud, hybrid, and multi-tenant architectures
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.
"synopsis" may belong to another edition of this title.
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Practical Agentic AI Governance, Compliance, and Runtime Security: Build Auditable, Compliant, and Continuously Protected Autonomous Agents and Multi-Agent Platforms at Enterprise Scale
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Practical Agentic AI Governance, Compliance, and Runtime Security
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Practical Agentic AI Governance, Compliance, and Runtime Security (Paperback)
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Paperback. Condition: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798181193123
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Practical Agentic AI Governance, Compliance, and Runtime Security : Build Auditable, Compliant, and Continuously Protected Autonomous Agents and Multi-Agent Platforms at Enterprise Scale
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Taschenbuch. Condition: Neu. Neuware - 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 systems- Implement policy-as-code using modern authorization and policy frameworks- Establish continuous compliance programs aligned with leading industry standards- Create immutable audit trails and enterprise-grade traceability pipelines- Deploy runtime guardrails and enforcement mechanisms for agent actions- Monitor agent behavior and detect anomalies in real time- Integrate governance and compliance controls into CI/CD workflows- Automate evidence collection, reporting, and audit preparation- Build incident response and recovery procedures for agent-driven environments- Scale 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. Seller Inventory # 9798181193123