Which security features does the Einstein Trust Layer provide for AI content?

The Einstein Trust Layer incorporates several important security features to ensure the responsible use of AI-generated content. Among these features, Data Masking is used to protect sensitive information by obscuring specific data points, thereby preventing unauthorized access to personally identifiable information. Toxicity Filtering helps identify and mitigate harmful or inappropriate content generated by AI, ensuring that communications remain respectful and safe. Audit Logging is crucial for maintaining a record of AI activity, allowing for review and monitoring of interactions involving AI-generated content, which aids in compliance and accountability.

Together, these features ensure that the handling of sensitive information aligns with organizational security policies and regulatory requirements. Other options such as direct access to sensitive customer data or automatic approval of all AI-generated messages do not reflect the caution and governance framework established by the Einstein Trust Layer, which aims to preserve trust while leveraging AI technologies. Additionally, monitoring social media interactions is not exclusive to the functionality of the Einstein Trust Layer, making it an incomplete representation of its capabilities.