Static risk assessments are blind to the emergent threats of AI. Our graph-based risk engine moves beyond checklists to calculate the true "Dynamic Blast Radius" of every agent action in real-time, enabling smarter, context-aware, and defensible governance decisions.
"How can a simple risk score capture the danger of an agent that has access to both sensitive PII and external communication tools?"
"How do we account for the risk of 'inherited authority,' where a low-privilege user invokes a high-privilege agent?"
"How do we make our access control policies risk-aware, so they can become more stringent as an agent's behavior becomes more unpredictable?"
We model your entire AI ecosystem—agents, tools, data sources, and users—as an interconnected graph. This allows us to calculate the true potential impact, or "Blast Radius," by analyzing all possible downstream consequences of an agent's actions. We calculate four types of blast radius: Static, Dynamic, Maximum Potential, and Simulated.
A simple, one-dimensional risk score is insufficient to capture the nuanced threat posed by an AI agent. Instead, our system computes a Multi-Dimensional Risk Vector, which is a data structure containing a plurality of quantitative scores, wherein each score corresponds to a distinct, interpretable dimension of risk (e.g., Sensitivity, Breadth, Criticality, etc.).
The dynamic risk score and multi-dimensional risk vector are not just metrics for a dashboard; they are active inputs into your governance controls. You can create powerful, risk-aware policies, such as "If the Dynamic Blast Radius exceeds a score of 80, and the Sensitivity score is high, require human-in-the-loop approval before proceeding." This transforms your risk model from a passive report into an active, automated defense mechanism.
See how the Corvair.ai Dynamic Risk Scoring engine can provide the clarity and confidence you need to manage your AI workforce. Schedule a demo to see our graph-based analytics in action.
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