Everything your data does outside production, in one platform.
Data archival, test data management, masking, governance and AI for structured, semi-structured and unstructured data — governed once and kept within the enterprise boundary.
Every function outside production runs on its own copy of the data
Production data is managed under one set of systems and policies. Outside production, the same data is replicated into archives, test environments, analytics platforms, AI tools and compliance processes, each with its own tooling, its own copy and its own rules.
Production
Protected, governed and audited.
ManagedArchive
Separate tooling with independent retention rules.
Separate toolTest Data Management
Masking policies in place, with exceptions permitted.
Separate copyAnalytics
Broad access with weaker controls.
Separate copyAI tools
Sensitive data transferred outside the enterprise boundary.
Separate pipelineCompliance
No single record of where each copy resides, or why.
Manual evidenceGovernance
Policy, lineage and classification tracked separately in every tool.
Fragmented policyThe gap is already costing enterprises
Infrastructure sprawl
Every additional copy spins up its own storage, licensing, integration and operational footprint — multiplying infrastructure across archive, test, analytics, AI and compliance, and duplicating cost at every layer.
Limited traceability
Across five or six separate tools, no one can answer a simple question on demand: where does this data live, and who has touched it.
AI initiatives stalled
AI initiatives stall or get shelved the moment data has to leave the enterprise boundary to be used.
Tool sprawl
Each function runs its own vendor and its own policy engine, multiplying the attack surface and the audit workload.
Masking policies for non-production are near universal, yet exceptions remain common. The policy exists; it does not follow the copies.
One governed data twin serves every purpose outside production
Most enterprises assemble archive, test data, analytics, AI and compliance tooling from five or six separate vendors, each with its own policy engine and its own copy of the data. Triverge replaces that stack with a single, rigorously governed copy that serves every non-production function.
Production
Core systems, databases and documents, unaffected.
Governed data twin
- One policy for masking, retention and access
- One tamper-evident audit trail
- One authoritative record of data location and use
- Archive
- Test Data Management
- Analytics and BI
- AI
- Compliance
- Data Governance
One platform in place of multiple point solutions
Capabilities typically procured from five or six separate vendors, consolidated on a single governed copy of data.
Archive
Retirement of aged data from production into immutable, open-format storage, fully searchable, with auto-tiering between hot and cold storage, policy-based retention and legal hold.
Test Data Management
A masked subset of production data, kept in sync and ready to serve UAT and test environments, to speed up development.
Analytics and BI
Insight from governed data through built-in AI insights or existing BI tools.
AI
Raw data to natural-language responses, with on-prem models and cloud LLMs routed per use case for cost-efficient, high-quality results.
Compliance
Automated data subject search, erasure with chain of custody, legal holds and deadline tracking, with verifiable evidence for regulators.
Governance
Data lineage from source to every copy, schema drift detection and a shared business glossary, behind one classification-driven policy.
Security
Data never leaves your perimeter: RBAC over a universal catalog, full user management, BYOK with customer-held keys, memory-level encryption and an audit trail on every sensitive value seen in plain text.
The window is open now
AI adoption constrained by trust
Enterprises are deferring AI initiatives due to uncertainty over data residency and exposure.
Regulatory obligations
India’s DPDP Act and the EU AI Act establish binding requirements for the retention, use and erasure of personal data.
Data residency
Enterprises require AI on sensitive data to run within environments under their own control.
Technology readiness
Open AI models are now viable for in-house deployment, and open table formats have become the industry standard.
Built for regulated, data-intensive enterprises
Production runs the business. Triverge runs everything else.
Core platform available: archive, governance, masking, privacy and AI query.
Full data quality suite, AI model routing between internal and external models, and end-to-end observability.
The converged data platform for every requirement outside production, globally.
Security your InfoSec team can verify, not take on faith
Every claim on this page is backed by a control your security and compliance teams can inspect directly.
Customer-held keys
BYOK encryption with HSM and cloud KMS integration. Triverge never holds the keys.
Tamper-evident audit
Hash-chained, append-only audit trail for every access and change, forwarded to your SIEM in real time.
FIPS-validated cryptography
Authenticated encryption at rest, mutual TLS in transit, and post-quantum hybrid signatures to NIST standards.
Release attestation
Software bill of materials and attestation issued with every release.
Complete visibility and control over every copy of enterprise data.
For a platform briefing or a technical walkthrough, contact the Triverge team.