Think about how you would define it unambiguously and ensure completeness so all the exposures are captured and are consistently used throughout the organization.
One thing I’m thinking about: in real incidents where reputational and operational risks blur, how strict should the “mutually exclusive” rule be before it becomes oversimplified? Overall, very clear and applicable for day-to-day operational risk work.
Exposure means what can be lost or harmed — the part of the system that’s at stake, not the risk itself. It shows where impact could occur before controls or resilience act. In an ORM framework, exposures must be clearly defined, complete, and consistent so every team identifies the same potential losses.
I think “exposure” can be seen as the potential for loss or impact when an organization’s assets, operations, or reputation are affected by internal or external events. The challenge is ensuring that all teams, finance, operations, compliance, use this definition consistently. Without a unified taxonomy, different departments may assess or report exposures differently, leading to fragmented risk understanding.
Exposure refers to events that can cause a loss, it’s what the organization is vulnerable to. And the risk is the distribution of the losses. For instance, a bank’s exposure may be its dependency on a cloud service provider. The risk is that a cloud outage could interrupt trading systems or client access. So exposure exists before risk materializes.
It can be suggested that the exposure is structural, not probabilistic, which means it’s where the risk can act, not how likely or how large the loss is. Exposure mapping allows the organization to estimate vulnerabilities even before measuring risk.
After the learning of relevant concepts of exposure and risks and all the frameworks so far. I thought of a questions…
Exposure is the value that is vulnerable to loss when a specific risk materializes, assessed before any mitigation. It reflects what the organization stands to lose, and under which scenarios. For instance, in market risk, exposure could be the notional amount of a derivative contract multiplied by the sensitivity to price movements.
One thing I’m thinking about: in real incidents where reputational and operational risks blur, how strict should the “mutually exclusive” rule be before it becomes oversimplified? Overall, very clear and applicable for day-to-day operational risk work.
Exposure means what can be lost or harmed — the part of the system that’s at stake, not the risk itself. It shows where impact could occur before controls or resilience act. In an ORM framework, exposures must be clearly defined, complete, and consistent so every team identifies the same potential losses.
I think “exposure” can be seen as the potential for loss or impact when an organization’s assets, operations, or reputation are affected by internal or external events. The challenge is ensuring that all teams, finance, operations, compliance, use this definition consistently. Without a unified taxonomy, different departments may assess or report exposures differently, leading to fragmented risk understanding.
Exposure refers to events that can cause a loss, it’s what the organization is vulnerable to. And the risk is the distribution of the losses. For instance, a bank’s exposure may be its dependency on a cloud service provider. The risk is that a cloud outage could interrupt trading systems or client access. So exposure exists before risk materializes.
It can be suggested that the exposure is structural, not probabilistic, which means it’s where the risk can act, not how likely or how large the loss is. Exposure mapping allows the organization to estimate vulnerabilities even before measuring risk.
After the learning of relevant concepts of exposure and risks and all the frameworks so far. I thought of a questions…
Exposure is the value that is vulnerable to loss when a specific risk materializes, assessed before any mitigation. It reflects what the organization stands to lose, and under which scenarios. For instance, in market risk, exposure could be the notional amount of a derivative contract multiplied by the sensitivity to price movements.