Operational Resilience

Operational resilience refers to an organization's ability to maintain critical functions and recover quickly from disruptions, including those caused by AI system failures or security incidents. For enterprises deploying AI at scale, resilience frameworks ensure that model failures, data breaches, or infrastructure outages don't cascade into broader business losses. Governance teams use operational resilience strategies to design redundancy, establish failover procedures, and create incident response protocols that keep AI-dependent operations running during adverse events.

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Corporate PolicyGlobal2026-07-31

Protiviti's AI Governance FAQ Sets a New Practitioner Benchmark for Lifecycle Controls

Protiviti has published an updated AI Governance Guide structured as a frequently asked questions resource for enterprise risk programs. The guide recommends lifecycle governance, red-teaming, monitoring dashboards, and fail-safe controls as standard practice for AI deployments. Its strongest operational focus is on continuous model validation, incident response, and resilience for customer-facing systems.

Protiviti red-teaming operational resilience lifecycle governance model monitoring incident response enterprise risk