Mage Data has unveiled a significant enhancement to its data protection platform with the introduction of Data Security and Privacy for AI. This new extension is designed to safeguard sensitive information across the entire lifecycle of artificial intelligence applications. The expanded platform now encompasses AI training environments, public generative-AI applications, custom AI agents, and embedded copilots, ensuring that data protection policies are applied consistently before, during, and after data interacts with AI systems.
Traditional enterprise data controls often face challenges in AI environments due to the fluid movement of sensitive information through various channels such as extracts, notebooks, feature stores, evaluation datasets, prompts, and AI-generated responses. Addressing this, Mage Data’s latest offering focuses on five primary protection areas. Training Data Guardrails identify and manage sensitive information like personally identifiable information (PII), protected health information (PHI), and non-public information (NPI) across diverse datasets, with capabilities to mask data at its source or through software development kits. AI Usage Guardrails further enhance security by inspecting employee prompts and file uploads to generative-AI services, ensuring sensitive information is masked before leaving a user’s device.
In addition, Dynamic Data Masking for AI provides flexible options to mask, redact, generalize, or block AI-generated responses based on user roles and the content of the response. The platform also includes AI Development Guardrails, offering robust controls for organizations developing AI agents. Through Mage Data’s SDKs and MCP Server, access to tools and data can be restricted based on user permissions. Moreover, the platform’s Activity Monitoring for AI tracks interactions, including users, prompts, tools, and sensitive data handling, while providing comprehensive reporting and alerts.
Rajesh Parthasarathy, CEO and founder of Mage Data, emphasized the company’s commitment to applying established data protection principles to the expanding realm of AI environments. The approach allows organizations to extend existing Mage Data policies to AI workloads without needing separate frameworks. Highlighting the risks associated with employees using public AI tools with sensitive data, CTO and Senior Vice President Anil Bhat stressed the importance of protecting information without entirely blocking AI tools, which might otherwise drive employees to unregulated services.
The new Data Security and Privacy for AI solution is readily available, with Mage Data offering demonstrations and proof-of-concept deployments for organizations assessing this technology. For more details, product information is accessible on their website, and inquiries can be directed to their media contact.
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