An Exposure Assessment evaluates how exposed your AI system is to potential risks based on its deployment context, usage patterns, and accessibility. It answers a critical question that other assessments do not: how likely is it that identified risks will actually be triggered in the real world?
Risk severity alone does not determine impact. A system with a known vulnerability that is only used internally by a small team carries very different risk than the same system deployed to thousands of external users. Exposure Assessment helps your governance team make that distinction.
Two AI systems can have identical risk profiles from a technical standpoint, but very different real-world impact depending on how and where they are deployed. Exposure Assessment helps you prioritize your governance efforts by understanding:
Without exposure context, your team might spend time mitigating low-impact risks while high-exposure systems go unaddressed. Our Exposure Assessment makes sure you are focusing on what matters most.
Our platform evaluates exposure by analyzing signals from the Asset, including:
Exposure is evaluated alongside the risk signals from your other assessments to provide a more complete risk picture. A high-risk finding combined with high exposure is prioritized very differently than the same finding with low exposure.
After completing an Exposure Assessment, your team gets:
This information is displayed alongside the Asset's other risk scores, giving you a single, comprehensive view of both the severity and the real-world likelihood of each risk.
Exposure is one of the six dimensions we evaluate during Risk Mapping. The Exposure Assessment provides a deeper look at deployment context and real-world accessibility. Combined with results from your Bias, Robustness, Transparency, Privacy, and Efficacy assessments, Exposure gives your team the full picture they need to make informed, risk-based governance decisions.