How to Audit an AI Agent:Time-Travel Debugging and Drift Measurement
Together they turn agent auditing from guesswork into a repeatable process. Neither reconstructs a past moment, and neither tells you whether today’s normal behavior is quietly becoming tomorrow’s incident.Time-travel debugging and drift measurement are the two capabilities that close that gap. This post covers what each one does, why agents need both, and how to implement them with the open-source ZizkaDB.Two different questions, two different toolsTime-travel debugging answers: what did the system know, and what state was it in, at a specific point in the past?
- ▪Together they turn agent auditing from guesswork into a repeatable process.
- ▪Neither reconstructs a past moment, and neither tells you whether today’s normal behavior is quietly becoming tomorrow’s incident.Time-travel debugging and drift measurement are the two capabilities that close that gap.
- ▪This post covers what each one does, why agents need both, and how to implement them with the open-source ZizkaDB.Two different questions, two different toolsTime-travel debugging answers: what did the system know, and what state was it in,
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| Original publisher | Medium |
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| Publication time | Thu, 24 Sep 2026 06:34:03 +0000 |
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AIAI AgentAuditZizkadbHow to Audit (Not Observe) an AI Agent:Time-Travel Debugging and Drift MeasurementMir Arshad Ali8 min read·Just now--ListenSharePress enter or click to view image in full sizeHow to Audit (Not Observe) an AI Agent:Time-Travel Debugging and Drift MeasurementTime-travel debugging reconstructs what an AI agent knew at a given moment, and drift measurement flags when its behavior departs from its baseline. Together they turn agent auditing from guesswork into a repeatable process.
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