CHAPTER 6Distributed Causality and Systemic Attribution
We have established a causal typology for how outcomes diverge from intent in agentic systems. But naming an outcome does not help you address it when the logs are clean and the teams are pointing fingers. The next step is investigation. This chapter focuses on attribution: how to reconstruct what actually happened when causality is distributed across agents, humans, systems, and code.
Agentic incidents do not necessarily behave like the incidents most organizations are used to managing. In a traditional breach, the story is usually legible: an actor crosses a boundary, something unauthorized happens, logs point to a path, and the response follows a familiar script. In agentic systems, the most consequential failures often look nothing like that. Many of these failures are not violations in the traditional sense. They do not involve unauthorized access, broken controls, or clearly malicious behavior. The system operates within its defined permissions, executes against valid objectives, and produces outcomes that appear internally consistent. And still, harm occurs. This is what makes attribution difficult: The absence of obvious failure signals does not indicate the absence of failure.
This chapter focuses on what to do when traditional attribution instincts no longer hold: when causality is hybrid, evidence is partial, telemetry conflicts, and no single team can honestly claim end-to-end visibility. It introduces ACE's ...
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