AI Interpretability as a Security Control: Introducing the CIRCUIT Framework
summary
CIRCUIT is an open standard that turns interpretability into a reproducible security control: a numeric CRS computed as risk tier × (6 − IMS) × decision‑consequence weight, where IMS ranges 0–5 (0 black box, 5 rechecked circuits). Evidence includes traced circuits from sparsity work (OpenAI, DeepMind, Anthropic) and a 29‑question vendor form that self‑hosted models answer ~93% of, API models ~50%, embedded ~14%. A live threat, crossmpi, hijacks models via images two‑thirds of the time, proving interior probes are necessary.
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chapters (12)
- 0:00AI interpretability gap
- 4:18AI governance limits
- 8:28Why interpretability was hard
- 11:35How modern interpretability works
- 15:11Introducing CIRCUIT framework
- 19:28Calculating CIRCUIT risk score
- 22:15Seven effectiveness metrics
- 24:24CrossMPI attack demo
- 26:07Vendor transparency questionnaire
- 27:50CIRCUIT maturity path
- 28:54Call to action
- 30:17Q&A
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