The Insider You Built

CHAPTER 5A Typology of Agentic Causal Dynamics

Agentic systems rarely diverge from intent all at once. Their behavior evolves over time, often quietly and rationally, in ways that appear acceptable until they no longer are. Traditional cybersecurity has long used catalogs of known vulnerabilities and attack patterns to support detection and remediation. Those tools remain valuable, but they work best when architectures, exploit paths, and the constraints that govern behavior are stable enough to make discrete weaknesses identifiable and correctable. Agentic systems expose and intensify the limits of that model.

Agent architectures, orchestration patterns, and deployment environments evolve too quickly for static lists of violations to remain durable. A taxonomy limited to specific techniques such as prompt injection variants or tool-use loops, risks becoming a snapshot in time rather than a governance tool. By the time the list is complete, the architecture has changed.

Mature engineering disciplines have long recognized that enumerating failures does not scale in complex systems. Security engineering, safety engineering, and distributed systems design all evolved toward understanding causal mechanisms rather than maintaining static lists of incidents or attack patterns. Agentic systems bring that same reality into governance. As complex systems moved into hostile and uncertain environments, engineers learned an uncomfortable truth: The environment evolves faster than any taxonomy ...