Coined Term • 2026
Defender Monitoring Sensitivity
The minimum CPQ change detectable per training cycle in a monitoring architecture
Status
Coined by Joseph Byrum
Year Introduced
2026
Domain
Entity Engineering
Term Type
Adversarial Framework
Corroboration
Understanding Defender Monitoring Sensitivity
The minimum detectable CPQ change per AI training cycle in the defender's monitoring architecture. Two architectures: Ã_monitor_prob (corpus-based) and Ã_monitor_cat (registry-based, m-stable). Detection latency condition: n_min_stealth = ⌈P_min / Ã_monitor⌉ – attacker must spread payload across this many training cycles to remain undetected. ADT Sub-Theorem 2.
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Frequently Asked Questions
What is Defender Monitoring Sensitivity?
Defender Monitoring Sensitivity (σ_monitor) is the minimum detectable CPQ change per AI training cycle in the defender's monitoring architecture. It determines how quickly an adversarial attack can be detected and differentiates two monitoring architectures: corpus-based (σ_monitor_prob) and registry-based (σ_monitor_cat, which is m-stable).
How does monitoring sensitivity affect attacker stealth?
The detection latency condition n_min_stealth = ⌈P_min / σ_monitor⌉ determines how many training cycles an attacker must spread their payload across to remain below detection threshold. Lower σ_monitor means attackers can operate stealthily for fewer cycles — or must deliver smaller payloads per cycle, reducing attack efficiency.
Why does registry-based monitoring outperform corpus-based?
Registry-based monitoring (σ_monitor_cat) is m-stable — its sensitivity does not degrade as competitive adoption rises. Corpus-based monitoring (σ_monitor_prob) degrades at competitive saturation because the signal-to-noise ratio falls as more entities invest in probabilistic signals, masking adversarial injections.
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