Anjuna Seaglass vs Protegrity Data Protection: Side-by-Side Comparison (2026)

Short answer

Enterprise and mid-market teams protecting sensitive workloads from insider threats and memory-based attacks will find Anjuna Seaglass valuable because it encrypts data in-use via hardware enclaves, not just at rest or in transit. The no-code wrapping approach means you can move existing containerized apps into Confidential Containers without rewriting application code, and multi-cloud deployment across AWS, Azure, and GCP reduces vendor lock-in. This is not for teams whose primary concern is preventing initial compromise or lateral movement; Seaglass assumes the container already runs and focuses on what happens inside it, leaving your CNAPP and network detection work largely unchanged. Mid-market and enterprise teams protecting sensitive data across cloud data warehouses will get the most from Protegrity Data Protection because its vaultless tokenization architecture eliminates the operational burden of managing separate encryption key infrastructure. The platform's field-level protection works natively with Snowflake, BigQuery, and Redshift without proxy overhead, and its role-based masking applies data policies consistently across static and dynamic access patterns. Skip this if your primary need is masking test data for developers; Protegrity's pricing and deployment complexity are overkill for that use case alone.

Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion: