Mage Data has unveiled its latest innovation, Data Security and Privacy for AI, which serves as an expansion of its existing data protection platform. This new offering is tailored to help businesses safeguard sensitive data throughout the entire lifecycle of artificial intelligence applications. The enhanced capabilities encompass AI training environments, public generative-AI applications, custom AI agents, and embedded copilots. The platform’s design ensures that data protection policies are consistently applied from the moment information enters an AI system, during its processing and development, and when the AI system generates a response.
The company acknowledges that traditional enterprise data controls often face challenges when applied to AI environments, as sensitive information can traverse various formats such as extracts, notebooks, feature stores, evaluation datasets, prompts, and AI-generated responses. In response, Mage Data’s new solution offers five key areas of protection. Training Data Guardrails detect sensitive data like personally identifiable information (PII), protected health information (PHI), and non-public information (NPI) across both structured and unstructured datasets, allowing organizations to mask data at its source or as it enters AI pipelines.
AI Usage Guardrails play a crucial role by inspecting employee prompts and file uploads to public generative-AI services, ensuring sensitive information is masked before leaving a user’s device. Additionally, Dynamic Data Masking for AI enables the masking, redaction, generalization, or blocking of AI-generated responses based on user requests and the information involved. AI Development Guardrails provide controls for businesses developing their own AI agents, with Mage Data’s SDKs and MCP Server restricting tools and data access according to user permissions. Activity Monitoring for AI records all AI interactions, including user prompts and sensitive data masking, while offering robust reporting and alerting functions.
Rajesh Parthasarathy, CEO and founder of Mage Data, emphasized the company’s commitment to applying existing data protection principles to the expanding environments where enterprise information interacts with AI systems. Highlighting the risks of employees using public AI tools with sensitive data, Anil Bhat, CTO and Senior Vice President, noted that Mage Data’s approach aims to protect information without completely blocking AI tools, which could lead employees to resort to unmanaged services.
Data Security and Privacy for AI is now available, with Mage Data offering demonstrations and proof-of-concept deployments for organizations interested in evaluating the technology. For more information, organizations can visit Mage Data’s website or reach out through their media contact.
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