Data Protection
Secure File Gateways: Real-Time Guardrails for Cloud and On-Premises Storage
In a modern data ecosystem, files are constantly landing in distributed storage environments—often bypassing traditional security controls. Mage Data’s Secure File Gateways act as a persistent security layer, deploying "Watchdogs" and "Bloodhounds" to monitor your infrastructure in real-time. Whether data is landing in AWS S3, Azure Blob, GCP Cloud Storage, or legacy on-premises file servers, our gateways automatically detect, classify, and protect sensitive information the moment it arrives, ensuring your security perimeter remains impenetrable.
Key Capabilities
Automated Storage Watchdogs
Eliminate the gap between file arrival and security enforcement. Our "Watchdogs" provide real-time monitoring across AWS S3, Azure Blob, and GCP buckets. As soon as a file lands, the gateway triggers an immediate scan, ensuring that sensitive data is never left unprotected.
Intelligent Sensitive Data "Bloodhounds"
Deploy advanced "Bloodhounds" to sniff out PII, PHI, and financial data hidden within complex file structures. Using pattern matching and NLP, our engine identifies high-risk content across CSV, Excel, PDF, JSON, and XML, providing high-precision discovery.
Real-Time Extrusion Prevention
Stop data leaks at the source. Our gateways act as a final barrier, blocking or masking sensitive data in files before they leave your security perimeter. This prevents accidental exfiltration during third-party sharing or cross-departmental transfers.
Multi-Cloud & Hybrid Orchestration
Maintain a consistent security posture across a fragmented estate. Mage Data provides a unified management plane for file gateways deployed in multi-cloud or hybrid environments. Apply a single protection policy that governs your data identically across all platforms.
Policy-Driven File Routing
Automate the lifecycle of your sensitive files. Based on discovery results, our gateways can automatically route, quarantine, or archive files. Protected files are delivered to downstream applications with full referential integrity.
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