AI Governance

Free

A book about governance, risk, compliance, security, privacy, and oversight for generative AI systems.

FreeFree tier

Type

Open Source

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About AI Governance

AI Governance is a practical playbook for implementing governance, risk, and compliance (GRC) in generative AI systems. Written by Engin Bozdag and Stefano Bennati, this Manning Early Access Program (MEAP) book covers security, privacy, bias, ethics, cost management, and legal compliance. It translates abstract governance theory into concrete practices such as matching safeguards to deployment models, catching problems like prompt injection and data leakage early, adapting to evolving AI laws, and operationalizing ethics into testing and oversight. The book targets professionals deploying LLMs (e.g., GPT, Gemini, DeepSeek, Claude) in production and provides a framework to balance innovation with responsible oversight.

Key Features

Match the right safeguards to your deployment model

Apply a framework that transforms governance from paperwork into workflow

Catch problems like prompt injection, bias, and data leakage early

Adapt to AI laws and standards with defensible, scope-aware controls

Operationalize ethics into testing and oversight for trustworthy outcomes

Covers security, privacy, bias, ethics, and cost management for LLMs in production

Structured playbook for Governance, Risk, and Compliance (GRC) in Generative AI

MEAP format: read chapters as they are written with early access

Pros & Cons

Pros

Translates abstract governance theory into concrete, actionable practices
Covers a comprehensive range of topics: security, privacy, bias, ethics, and cost
Provides a structured playbook specifically for Generative AI (LLMs)
Early access through MEAP allows readers to use content before final publication
Written by practitioners with real-world governance experience

Cons

Currently a MEAP with only 5 of 8 chapters available (incomplete)
Not a software tool; focuses on frameworks and processes requiring manual implementation
Priced as a commercial book (not free or open-source)

Best For

Implementing AI governance frameworks in organizationsManaging risks in generative AI systems including data leaks and biased outputEnsuring compliance with rapidly changing AI laws and standardsIntegrating ethics into the AI development and deployment lifecycleCost management and oversight for production AI systems