Delphix’s latest release transforms data compliance and delivery into a core, governed platform rather than a collection of side tools. Across Continuous Compliance, Continuous Data, Data Control Tower, Hyperscale Compliance, and Compliance Services, updates deliver stronger automation, faster data access, and centralized governance that meets audit standards.
FASTER, MORE RELIABLE MASKING WITH APACHE HOP
Delphix has migrated the Continuous Compliance engine from Kettle to Apache Hop, improving masking throughput by 3–5x and enhancing orchestration reliability.
Enterprise impact:
High-volume platforms like core banking and ERP can complete masking within batch windows, reducing compliance risk.
Fewer failed runs lower the chance of unmasked data entering non-prod or analytics environments.
Operational impact:
Test data teams meet SLA windows consistently.
DBAs and compliance engineers spend less time re-running failed jobs.
AUTOMATED SENSITIVE DATA DISCOVERY (ASDD) ACROSS MODERN FILE FORMATS
ASDD now covers JSON, XML, delimited, fixed-width, VSAM, and Parquet files with classifiers for financial, medical, and PII data.
Enterprise impact:
Supports GDPR, HIPAA, PCI, and local regulations by mapping sensitive data across databases and files.
Avoids unmasked edge identifiers in AI/ML or analytics datasets.
Operational impact:
Teams can onboard new systems faster using automated profiling.
Less manual discovery, faster ruleset creation, and broader coverage.
RICHER MASKING ALGORITHMS FOR GLOBAL REGULATORY COVERAGE
Enhanced frameworks include character replacement, string chaining, valid address masking, email composition, Mod11 check digits, and Brazilian financial IDs.
Enterprise impact:
Removes custom scripts for international compliance.
Reduces audit findings and re-identification risks.
Operational impact:
Data privacy engineers apply complex policies easily.
Testers receive realistic datasets that pass validation rules.
FILE MASKING ACROSS CLOUD AND LEGACY SYSTEMS
Masking now supports S3, Azure Blob, VSAM, mainframe MVS, Hadoop/HDFS, and Parquet files.
Enterprise impact:
Closes blind spots in object storage and mainframe data.
Supports regulatory reporting and modernization programs.
Operational impact:
Mask Parquet in place, avoiding conversions.
Unified policy engine reduces bespoke code maintenance.
STRONGER KEY MANAGEMENT, ENCRYPTION, AND SECURE BOOT
Continuous Data adds Oracle TDE with OCI Vault, SQL Server Always Encrypted, IBM Db2 TDE, NFS/iSCSI encryption, and Secure Boot on AWS/GCP.
Enterprise impact:
Centralized key management ensures consistent audit-ready encryption.
Reduces insider and malware risks across hybrid environments.
Operational impact:
DBAs manage virtualized encrypted backups without exceptions.
Platform teams deploy hardened Delphix engines efficiently.
REPAVE AND INCREMENTAL V2P FOR RESILIENCE AND DR
Repave automates engine rehydration; Incremental V2P for Oracle and SQL Server reduces data loss during DR scenarios.
Enterprise impact:
Faster recovery after incidents without losing virtual dataset history.
Supports DR and ransomware mitigation.
Operational impact:
DR teams execute scripted recovery tests.
DBAs validate failover to VDBs and push deltas back efficiently.
ELASTIC DATA AND ENGINE SCALING FOR CLOUD COST CONTROL
Elastic Data now supports AWS, Azure, OCI, and on-prem S3-compatible storage with higher engine limits and improved migration tooling.
Enterprise impact:
Reduces TCO, enabling management of more data.
Simplifies audit, backup, and DR strategies.
Operational impact:
Standardizes Elastic Data usage across environments.
Program managers track storage savings and utilization centrally.
DATA CONTROL TOWER AS CENTRAL OPERATING CONSOLE
Data Control Tower provides centralized engine and dataset management, replacing legacy Self-Service.
Enterprise impact:
Turns Delphix into a portfolio asset for capacity planning and governance.
Oracle operations, replication, and DR workflows become auditable and centralized.
Operational impact:
Admins manage all engines from a single UI.
Dev/QA teams access Self-Service via UI, ServiceNow, or Terraform.
AI-POWERED PERFORCE INTELLIGENCE AND SYNTHETIC MASKING
AI generates synthetic lookup lists for masking, reducing bias and risk.
Enterprise impact:
Ensures consistent global masking patterns.
Reduces compliance risk from real data in test sets.
Operational impact:
Masking specialists generate secure, realistic data automatically.
Accelerates onboarding of new regions or product lines.
DEVOPS INTEGRATION: TERRAFORM, SERVICENOW, JENKINS, LIQUIBASE
Terraform drift detection, ServiceNow Spoke, Jenkins/CloudBees, and Liquibase integrations strengthen DevOps workflows.
Enterprise impact:
Ensures production matches approved baselines for SOX and internal controls.
Reduces untracked test data copies.
Operational impact:
Platform engineers manage environments and detect drift.
Dev teams request refresh/bookmarks via ServiceNow without specialized knowledge.
CONTINUOUS COMPLIANCE IN CLOUD AND CONTAINERS
Deploy on AWS ECS Fargate, use Azure Vaults/GCP Secrets, and simplified LDAP.
Enterprise impact:
Aligns with cloud security and compliance baselines.
Reduces access control misconfigurations.
Operational impact:
Standard ECS Fargate patterns with IaC.
LDAP integration lowers operational overhead.
HIGH-SCALE MASKING WITH HYPERSCALE COMPLIANCE
Supports Snowflake, Hadoop, MongoDB, Parquet, delimited files with dataset filtering and split calculation.
Enterprise impact:
Governs AI/ML and analytics datasets effectively.
Improves masking consistency for multi-terabyte analytical tables.
Operational impact:
Configure mask/unload/load workflows centrally.
Standardized connectors free engineers from custom Spark code.
COMPLIANCE SERVICES FOR AZURE
Templates for ADF, Databricks, Dynamics 365, Fabric, plus Private Link and conditional masking.
Enterprise impact:
Enforces consistent masking in cloud-native pipelines.
Maintains analytical quality while protecting privacy.
Operational impact:
Data engineers use ready-made templates.
BI teams get compliant and analytically consistent datasets.
CENTRAL RISK AND STORAGE REPORTING
Data Control Tower surfaces Data at Risk, Block Storage, Storage Savings, engine performance, and license usage.
Enterprise impact:
Portfolio view of unmasked data for auditors.
Tracks virtualization ROI and capacity risks.
Operational impact:
Dashboard visibility for platform owners.
Compliance managers report masked/unmasked data effectively.
WHY THIS MATTERS AND HOW MERITO HELPS
Delphix now provides a governed, cloud-first platform for multi-format data, integrated with CI/CD, Terraform, ServiceNow, and analytics pipelines. Merito helps enterprises:
Design target-state architectures combining Continuous Data, Compliance, Hyperscale, and Data Control Tower.
Prioritize high-risk data domains for early adoption.
Build operational models with governance, reporting, and reusable blueprints.
Next steps with Merito:
Assessment and roadmap for sensitive data coverage, DR posture, storage, and tool usage.
Pilot critical workflows for Oracle, Snowflake, AI training data, and Hyperscale pipelines.
Scale with guardrails using Terraform, ServiceNow, masking templates, and reporting conventions.