Enkrypt AI Data Risk Audit vs Immuta Data Provisioning: Side-by-Side Comparison (2026)

Enkrypt AI Data Risk Audit

Security teams building or fine-tuning AI models in-house need Enkrypt AI Data Risk Audit to find what's actually in their training datasets before it becomes a breach or compliance violation. The tool generates a Data Bill of Materials for AI datasets and detects PII, PHI, and PCI exposure across multimodal data, then gates releases until risks are remediated, which maps directly to ID.AM and PR.DS in NIST CSF 2.0. Skip this if your AI workloads are purely inference-based or entirely vendor-managed; the value hinges on owning the training pipeline.

Immuta Data Provisioning

Mid-market and enterprise teams drowning in manual data access requests will see immediate relief from Immuta Data Provisioning's automated approval workflows and centralized policy enforcement. The platform covers the full NIST Identity Management and Data Security lifecycle, from access control (PR.AA) through continuous monitoring (DE.CM) and audit trails, which means you're not bolting compliance onto a provisioning tool. Skip this if your data governance bottleneck is purely technical; Immuta assumes you need policy coordination across teams, not just faster APIs.