GlobalSCAPE moves data safely but does not natively "understand" the context of the data inside the files. It relies entirely on external integrations (like Fortra’s data classification tools) to label data as "AI-ready" or "Restricted from AI."
: Globalscape EFT has a strong track record of supporting major compliance frameworks. It can help organizations meet data protection standards mandated by GDPR, CCPA, PCI DSS, HIPAA, Sarbanes-Oxley, FIPS 140-2 , and more. The Regulatory Compliance Module (RCM) protects data in transit and at rest by enforcing secure protocols, strong ciphers, encryption keys, and strict password policies. EFT also includes features to support data retention/cleanup policies and protect PII from being transferred.
Not yet—but it is the best MFT-native governance layer for AI.
Supports secure protocols (SFTP, HTTPS, AS2) to ensure data remains encrypted both in transit and at rest, minimizing the risk of man-in-the-middle attacks on your data pipeline. 4. Audit Trails and Compliance Reporting GlobalSCAPE moves data safely but does not natively
While Globalscape provides an excellent framework for securing the data part of AI data governance, it lacks native features for governing the AI models themselves. The key missing pieces include:
This new environment demands an . Security solutions must now handle risks like data poisoning , model manipulation , prompt injection , and inference attacks , all while ensuring compliance with emerging regulations like the EU AI Act and the NIST AI Risk Management Framework (AI RMF). The stakes are high: unmanaged AI introduces serious business risks, including bias, weak model security, and regulatory penalties.
For over two decades, Globalscape has been a stalwart in the managed file transfer (MFT) and cyber security space, known for its and data protection solutions. Historically, security teams evaluated Globalscape on metrics like encryption standards (FIPS 140-2), compliance (PCI DSS, HIPAA, GDPR), and high availability. The Regulatory Compliance Module (RCM) protects data in
Maintaining strict adherence to regulations like GDPR, HIPAA, and CCPA when data is processed by AI pipelines.
A legacy MFT vendor like Globalscape must prove it can handle these three pillars, not just SSL/TLS certificates.
| | Recommended Action | | :--- | :--- | | Planning AI deployments | Use Globalscape EFT as the secure data transfer layer, but plan to integrate it with dedicated AI governance platforms that handle model monitoring, prompt security, and dataset integrity. | | Already using AI | Audit how data moves between AI training pipelines and production. Ensure EFT is configured for granular logging of AI-related data flows, and develop compensating controls for gaps in AI-specific security (e.g., prompt injection). | | Governed by strict regulations | Leverage Globalscape's RCM for compliance, but complement it with tools that address AI-specific regulatory requirements, such as data bias detection and AI model explainability. | Supports secure protocols (SFTP, HTTPS, AS2) to ensure
GlobalSCAPE provides several foundational security features that can be adapted to support data governance for artificial intelligence initiatives. 1. Advanced Automated Workflows and Data Routing
Evaluating a security software company like (a brand under Fortra ) on AI data governance requires looking beyond traditional cybersecurity metrics. Artificial intelligence demands a pipeline approach to data protection. If you deploy large language models (LLMs) or generative AI agents, the data entering or exiting those models must be clean, verified, and legally compliant.