Responsible AI Safeguards
Responsible AI Safeguards protect your brand by providing controls over privacy, safety and appropriateness with generative AI.
- Keep customer data safe.
- Control responses to customers.
- Maintain model visibility.
Responsible AI Safeguards
Key Features
- Keep customers safe: Protect sensitive customer data from being shared with third-party LLMs.
- Stay private: Mask personal information with pre-built blocked fields like emails and phone numbers.
- Create custom fields: Define custom fields for removal for your specific business use case.
- Be safe: Prevent dissemination of harmful responses being sent to your customers.
- Set boundaries: Ensure conversations are within acceptable boundaries and avoid conversations with sensitive topics.
- Avoid extremes: Enable LLM responses to be neutral and avoid expressing biases.
- Maintain quality: Align prompts with use cases by analyzing qualitative metrics.
- Check performance: Compare various model prompt performance on relevancy, cohesiveness and other metrics on accuracy.
- Monitor usage: View usage metrics such as tokens consumed, success rate and average response time to optimize performance and cost.
