Agentic AI & runtime safety · Published · 2026
Runtime Safety for Multi-Agent AI Systems.
Principles, Patterns, and Practices for Safe and Reliable Autonomous Collaboration
A perfectly aligned model can still approve a fraudulent payment. The model behaves as trained; the system fails, because nothing between the model's decision and the world checks what the action will actually do.
This book treats runtime governance as an engineering discipline for multi-agent AI: pre-execution validation, in-execution monitoring, post-execution containment, shared approval under concurrency, safe delegation and omission-aware evidence, built around one running example and closing with a deployment blueprint.
For researchers and engineering teams interested in bounded, reviewable agent coordination.
Agentic AIRuntime safetyMulti-agent systems
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StatusPublished · 2026
TopicsAgentic AI · Runtime safety
ImprintThe Research Ledger Press
FREE SAMPLE
Read the first chapter
before you buy.
The free sample is a 17-page PDF with the title page, the table of contents and Chapter 1: From Aligned Models to Governed Agent Systems. It is an excerpt only; the complete book can be read free on Google Drive or ordered directly from the author.
THEMATIC THREADS
01Principles for runtime safety
A theme of the book. The free sample includes the table of contents and the first chapter.
02Patterns for autonomous collaboration
A theme of the book. The free sample includes the table of contents and the first chapter.
03Practices for reliable systems
A theme of the book. The free sample includes the table of contents and the first chapter.
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