Borneo Data Security Platform vs Enkrypt AI Data Risk Audit: Side-by-Side Comparison (2026)

Borneo Data Security Platform

Mid-market and enterprise teams drowning in unstructured data across cloud and SaaS will find real value in Borneo Data Security Platform's multi-pass inspection engine, which combines pattern matching, ML, NLP, and LLM analysis to catch what single-method classifiers miss. The platform's automatic remediation with data masking and encryption closes the gap between discovery and fix, addressing the PR.DS and ID.RA gaps most DSPM tools leave open. Skip this if your priority is real-time detection of active data exfiltration; Borneo is built for inventory and posture, not threat response.

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.