Gen-AI
Mage Data’s Gen AI Protection empowers your AI developers and data engineers to focus on building groundbreaking AI tools and models while Mage Data handles the data security. As organizations increasingly turn to GenAI for a range of tasks—from public interactions to generating AI responses—securing sensitive information within these models becomes critical. Our solution seamlessly integrates into your MLOps pipelines and LangChain applications, ensuring that sensitive data is protected throughout its entire lifecycle, whether it’s part of public GenAI interactions, model responses, or training datasets. Mage Data offers flexible, effective, and compliant data protection with out-of-the-box models or the option to plug in your own, giving you full control over the process.
How It Helps Customers
Eliminate Sensitive Data Exposure
Safeguard sensitive information in unstructured GenAI-generated text, ensuring privacy across all interactions.
Achieve Regulatory Compliance
Meet stringent compliance standards by securing sensitive data in public GenAI interactions, AI-generated responses, and training datasets.
Unified Sensitive Data Taxonomy
Streamline the identification and classification of sensitive data with a single taxonomy across both structured and unstructured data sources.
Boost Operational Efficiency
Simplify the management and protection of sensitive data, enhancing overall operational efficiency within your GenAI ecosystem.
Salient Points
Seamless MLOps Integration
Effortlessly integrates into MLOps pipelines and LangChain applications, ensuring comprehensive protection for GenAI workflows.
Customizable Data Protection
Leverage both out-of-the-box models and custom models, with ad-hoc discovery and masking rules that can be configured without needing to retrain models.
Realistic Data Masking
Mask sensitive data in free text while maintaining data usability and context, ensuring the information is still valuable for further analysis or processing.
Compliance & Privacy Focused
Designed to ensure compliance with data protection regulations, keeping sensitive information secure in GenAI interactions and training processes.