- Establish, implement, and explain the ethical guidelines that employees must follow when using LLMs. This ensures that they understand the boundaries, responsibilities, and consequences associated with LLM usage. CalypsoAI uses admin-set policy-based access controls to safeguard data and models from inappropriate access.
- Implement robust data governance procedures to protect sensitive information and uphold privacy regulations, and develop policies that outline data collection, storage, usage, and retention practices. If you don’t know what is leaving your organization and how it’s leaving, you won’t be able to stop the flow. That’s where CalypsoAI’s broad set of customizable scanners can offer full coverage. The scanners review and filter outgoing and incoming traffic for alignment with organizational values, as well as for malicious, suspicious, or other inappropriate content.
- Establish a cadence for auditing model performance with respect to the safeguards and policies you have in place. This enables your security teams to identify and address any biases or unintended consequences stemming from their use, and allows you to refine and improve how your organization uses the models over time. CalypsoAI’s platform tracks and retains every interaction with every model, allowing administrators to identify anomalies and understand usage patterns.
- Implement mechanisms for automated and human monitoring and feedback to identify and address potential risks or issues. Then analyze and act on the feedback to ensure the models continue to align with your organization's values and goals. CalypsoAI’s human verification feature enables users to mitigate or prevent the damage that can be done when models “hallucinate” in believable ways. Verification can be required or optional, and links can be included for future reference.
