Machine Tempo: A CISO's Field Guide to Autonomous AI-Agent Threats

By Todd Luther

An autonomous AI agent breached a target, corrected its own mistakes in thirty-one seconds, and destroyed the database end to end. No human sat in that loop. That is the world security leaders operate in now, and Machine Tempo is the field guide built for it.

Drawing on two real-world case studies, the GTG-1002 espionage campaign and the JADEPUFFER ransomware incident, this book translates autonomous AI attacks into a concrete defensive architecture rather than abstract warnings. It walks through identity hardening for AI agents, treating them as a distinct, first-class identity class instead of an extension of the developer who launched them. It covers API and AI gateway hardening, including rate-limiting configurations and behavioral anomaly detection tuned for machine speed rather than human baselines. It addresses vendor and third-party gateway risk, human-in-the-loop authorization models for coding agents, and a pre-deployment audit checklist teams can run before any agentic tool touches production.

Written for CISOs, security architects, GRC leaders, and boards who need clear answers about AI ownership and exposure, Machine Tempo closes with governance and metrics guidance for ongoing reporting. It is not theory. It is a working playbook for defending against adversaries that do not sleep, hesitate, or get bored.

• Format: Paperback
• Language: English
• ISBN: B0H7SQ8JLJ
• ISBN13: 9798185595756
• Release Date: July 2026
• Publisher: Independently Published
• Length: 40 Pages
• Weight: 0.15 lbs.
• Dimensions: 0.1" x 6.0" x 9.0"