Responsible AI tool developed using Responsible AI framework ,is used to perform impact assessment for Gen AI applications for Bias and Fairness, Privacy violations, security risks, Model robustness and security ,Sustainability and environmental impact, ethnic considerations, governance and insights and holistic governance for AI application development.
Overview
It is a enterprise wide comprehensive tool to assess the gen AI applications , their risk evaluation , identification and provides recommendation. It highlights the underline issues in respective gen AI application in different categories like biases, fairness, data privacy, Environment sustainabiity, IP violations, Model roobustness and security breaches. It promotes fairness, transparency, and ethical AI practices, while ensuring data privacy, security, and environmental responsibility.
Highlights
- Impact Assessment for Generative AI applications. AI risk mitigation and compliance. Prevent IP violation , PII data leakage ,ethnic biases.
- Continuous monitoring and feedback for Gen AI application development in enterprises. Predefined guardrails for Gen AI applications.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Resources
Vendor resources
Support
Vendor support
Please contact the zensar Cloud Center of Excellence (CCoE) team at awsmpsales@zensar.com for further queries.