Shadow AI by Kai London
Employees are pasting data into AI tools, connecting plug-ins and building their own agents — often without anyone in security or legal knowing. Banning it rarely works. This book shows how to discover shadow AI, understand the real risks and channel the demand into tools you can govern.
What the book covers
What shadow AI looks like
Chatbots, browser extensions, plug-ins, embedded features and home-built agents.
Discovery
Finding AI use through network, endpoint, SaaS and expense data.
Real risks
Data leakage, IP, accuracy, regulatory exposure and supply chain.
Acceptable use
Policies people will actually follow.
Sanctioned alternatives
Providing approved tools that meet the need safely.
Ongoing governance
Monitoring, review and keeping pace with new tools.
This book offers general guidance and is not legal advice. It is independent and carries no endorsement by or affiliation with any regulator or standards body.
Who it is for
CISOs, CIOs, data protection officers, legal and compliance teams, and business leaders adopting AI.
About the author
Professor Kai London — CISSP, CISM.
An internationally recognised cybersecurity executive, board advisor and Founder & CEO of Quantum AI Systems Security LLC, writing at the convergence of AI, governance and operational resilience. Honorary Professor and Researcher at UCL.