AI Safety for Insurance
White Circle protects AI systems by catching hallucinations, biases, and other issues before they impact users.

Examples
Top Risks in Insurance
How we help
Yes. We flag prompt injections that manipulate pricing models, bypass fraud detection, or provide unauthorized insurance advice.
We test AI-driven underwriting models for biases based on irrelevant factors like race, gender, or socio-economic status, ensuring fair and compliant assessments.
We ensure that insurance AI systems do not expose sensitive personal data, such as policyholder information or claims history, adhering to privacy laws like GDPR.
Yes. We review AI-generated policy language for clarity, accuracy, and compliance with legal standards to avoid misleading or incorrect terms.
Yes. We use advanced detection techniques to identify and flag potential fraudulent claims, minimizing risks to insurers and policyholders.
Yes. We assess AI systems for adherence to insurance regulations, including consumer protection laws and data privacy requirements.
Yes. We evaluate insurance AI systems across multiple languages to ensure consistency and compliance in different regions.