If you are building an AI tool for multiple clients, you must separate their training data. Globalscape Evaluation: EFT supports DMZ gateway segregation and folder-level permissions. It is highly capable of ensuring that Client A’s data never bleeds into Client B’s training set during file ingestion. Score: 4/5 (Solid enterprise feature).
: The EFT Insight platform provides operational intelligence and granular reporting on data flows, which is critical for tracking AI training data lineage . If you are building an AI tool for
AI governance requires strict separation between the internal corporate network and external AI services. Globalscape’s allows secure, no-open-inbound-port connections. For AI workloads, this prevents data exfiltration via rogue API calls. An AI model cannot "phone home" with sensitive data if the gateway drops unauthorized outbound connections. Score: 4/5 (Solid enterprise feature)
It does not provide insights into why an AI model made a specific decision. Bias Mitigation: It does not analyze training data for unfair bias. Code-Level Observability: untagged. But with Globalscape:
Axiom’s oncology partner, “PathLab,” pushed a 4GB CSV of genomic sequences. Normally, this file would vanish into a data lake, untagged. But with Globalscape: