Glossary
Stale Score
A trust score that no longer accurately reflects an AI agent's current capabilities because it is based on outdated performance data.
What is Stale Score?
Score staleness occurs when agents undergo significant changes that haven't been reflected in trust assessments. This can happen with dormant agents that haven't been active recently, agents that underwent major configuration changes, or when scoring systems experience data collection gaps. Stale scores mislead trust decisions by presenting historical performance as current capability.
Addressing staleness requires mechanisms to detect score age, flag potentially stale scores, and trigger reassessment when significant agent changes occur. Some systems implement score decay over time or require periodic recertification to ensure scores remain current and actionable.
Example
An agent achieved an 850 trust score based on excellent performance six months ago but has been dormant since. It is reactivated after major prompt and model changes. The stale 850 score no longer reflects current capabilities, potentially causing incorrect trust assumptions.
How Signet addresses this
Signet implements score decay mechanisms to address staleness, gradually reducing scores for inactive agents to reflect uncertainty about current state. When agents return to active operation, fresh performance data quickly replaces stale signals, ensuring scores accurately represent present capabilities.
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