apeiris .aiResilience
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AI System Resilience Control Matrix — 48 structured controls for AI operational resilience: verification testing, BCP/DR planning, fault tolerance design, chaos engineering, DORA compliance, and ResilienceAttestation. No login required.
0 of 48 rated · Score: — · 0 at target
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15
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assessed
Resilience scope: governs whether the AI system survives failure — recovery objectives, BCP/DR planning, failover and rollback execution, fault tolerance, and resilience governance. Adjacent domains: Security (protecting AI systems from attack), Data (data lineage and quality governance), Agentic (behavioral enforcement).
How to read a control card
IDLayer prefix + number — open any card for the full control.
Universal · FrontierThe capability tier the control applies to.
N fwHow many regulatory frameworks it maps to.
●●●○○ · labelMaturity — dots show what the field has typically reached; a label (e.g. “enforced”) is this control’s target.
A baseline control — applies to every agent.
⊕ Assessment Summary