Journal · 2026
Runtime Authority-Aware Threat Modeling for Agentic AI Systems
A framework for intent, tools, memory, delegation, and the authority available to AI agents during execution.
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Selected writing
Publications & writing
Peer-reviewed research and practitioner writing on AI security, cybersecurity architecture, and incident response.
Research
Published research.
Technical report · 2026
The AI Runtime Threat Matrix
A threat taxonomy and control framework for autonomous AI agent systems.
View report ↗Industry writing
From design to operations.
Running an Agentic Threat Model
Accepted for publication and scheduled for October 8, 2026.
AI agents need their own identity before they need a gateway
Why attribution and task context must travel with agent actions.
The first 24 hours of an AI agent security incident
Containment, blast radius, investigation, and recovery.
Practical lessons from deploying AI securely at scale
Enterprise security controls for AI in production workflows.