OPSIRisikos

OPSIRisikos is a structured framework for evaluating operational risk across organizations and sectors. It presents a unified approach that combines a standardized risk taxonomy with data-driven analysis and governance processes to identify, quantify, and mitigate operational threats.

Origins and scope

The term is used in risk-management discourse to illustrate an integrated method for handling operational risk, drawing on incident data, scenario planning, and control effectiveness. While described in theoretical and educational contexts, it is commonly referenced in both practical risk programs and fictional or hypothetical settings to demonstrate governance of complex risk ecosystems.

Core components

The framework rests on four interrelated layers. A risk taxonomy defines categories of operational risk, such as process failures, human factors, technology, and external events. A data layer aggregates incident records, near misses, and control performance. An analysis layer applies qualitative assessments and quantitative models to produce risk scores. A governance layer aligns risk appetite, reporting, and escalation with ongoing monitoring and continuous improvement.

Methodology

Key steps include defining scope and assets, identifying threats and vulnerabilities, estimating likelihood and potential impact, scoring risks, evaluating existing controls, and designing mitigation plans. The process emphasizes integration of qualitative judgments with quantitative inputs and regular reassessment as conditions change.

Applications and reception

OPSIRisikos is described as adaptable to critical infrastructure, manufacturing, financial services, and public safety contexts, among others. Proponents highlight its holistic view and modular design, while critics note potential complexity and substantial data requirements, which can limit practical implementation without sufficient data governance.

See also

Risk management, operational risk, scenario analysis.