New MCP Data Security Platform Addresses Risks in Adoption of Agentic AI
PALO ALTO, Calif., August 01, 2025–(BUSINESS WIRE)–Enterprise AI agents need access to customer data to deliver value. But each MCP connection adds a security risk. As the Model Context Protocol (MCP) becomes the backbone of agentic AI systems, Skyflow is launching its MCP Data Protection Layer—purpose-built for SaaS platforms and enterprises adopting MCP.
MCP standard was introduced by Anthropic, and is now supported by OpenAI, AWS, and Google. It streamlines how AI agents connect securely to real-world tools like databases, SaaS tools and apps, etc. without writing custom code.
But this introduces a new risk frontier: sensitive data like PII, PHI, and financial records flowing through the MCP servers without proper safeguards.
Skyflow Addresses Sensitive Data Protection Challenges with MCP Use
Unlike traditional DLP tools that simply block data, Skyflow takes a more intelligent approach. Its unique polymorphic data protection engine dynamically transforms sensitive information in real time by masking, tokenizing, or rehydrating fields based on policy and user permissions. This ensures security and compliance without breaking AI agent functionality.
Skyflow MCP Data Protection is available in two deployment models:
Skyflow MCP Gateway: A proxy layer, which can be integrated into existing proxy servers that sits between MCP servers or agents and backend data sources, enforcing field-level privacy policies without requiring application changes.
Skyflow MCP Server SDK: An embeddable library that developers can use to build privacy controls directly into MCP server implementations and agentic apps.
Both options include enterprise-grade privacy features:
Use case-aware redaction and de-identification
Entity-preserving transformations for agent reasoning
Contextual rehydration for authorized users
Secure memory handling to prevent PII retention
Full audit trails for GDPR, HIPAA, and other regulatory compliance
“As AI agents start connecting to more real-world data through MCP, companies need privacy infrastructure that can keep up,” said Anshu Sharma, CEO of Skyflow. “Skyflow helps developers and SaaS platforms protect sensitive data without slowing down AI workflows—making secure, compliant AI deployment possible at scale.”
Enterprises and SaaS companies across retail, financial services, healthcare, travel and hospitality can deploy Skyflow’s MCP protection to enable AI agents with sensitive data access while maintaining regulatory compliance.
