AI Security & Governance Annual Update Methodology : Regulation, Standards, Threats, Incidents, Controls, Assurance, Board Reporting, and Evidence for Defensible AI

Kai London

ISBN 13: 9798185918425

Published by Independently Published Jul 2026, 2026

About this Item

Neuware.

Seller Inventory # 9798185918425

Bibliographic Details

• Title: AI Security & Governance Annual Update Methodology : Regulation, Standards, Threats, Incidents, Controls, Assurance, Board Reporting, and Evidence for Defensible AI
• Publisher: Independently Published Jul 2026
• Publication Date: 2026
• Language: English
• ISBN 13: 9798185918425
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 2D millimeters 235 millimeters width by 191 millimeters height by 2 millimeters depth
• Weight: 86 grams

About this title

Synopsis

Part of the AI Security & Governance All-in-One Series by Professor Kai London.

This volume is a substantive annual update methodology for the AI Security & Governance All-in-One Series. It explains how to review regulatory change, standards updates, threat developments, incidents, controls, assurance expectations, board reporting, and evidence requirements each year, and how to turn each change into an implemented control and a defensible record.

It sets out the annual update operating model and the detailed methods for updating regulation and standards, threats and incidents, controls, and board and audit reporting — illustrated throughout with worked examples, full case studies, a maturity model, and guidance on scoping, prioritisation, evidence, and sustaining the discipline. Written for the person accountable for AI governance and the team that runs the annual cycle.