Enable Trusted Business Use.
A comprehensive suite of privacy-preserving mechanisms built into your data pipeline — from anonymization to secure orchestration — so you can work with data confidently and compliantly.
https://www.gotrust.tech
Every technique works together within GoTrust’s governance framework, giving your teams the access they need while keeping sensitive data safe.
Data Anonymization
Irreversibly transform personal identifiers so individuals cannot be re-identified.
Data Minimization
Automatically strip unnecessary fields so only required data is collected and shared.
Dynamic Data Masking
Mask sensitive values in real time based on user role and access context.
Secure Data Orchestration
Route and govern data flows end-to-end with encryption, audit trails, and policy enforcement.
Each technique is configurable, auditable, and integrates natively with your existing data stack.
Data Anonymization
Apply k-anonymity, differential privacy, and pseudonymization to transform datasets so that individual identities cannot be reconstructed — even when combined with external data sources.
Data Minimization
Define purpose-based collection rules that automatically limit which fields are captured, stored, and transmitted. Reduce your attack surface while staying aligned with GDPR and PDPA principles
Dynamic Data Masking
Serve masked or full data views dynamically depending on who is querying, when, and from where. No need to maintain separate datasets — one source, contextually protected.
Secure Data Orchestration
Coordinate multi-step data workflows with built-in encryption in transit and at rest, policy-gated transformations, and a tamper-proof audit log for every data movement.
GoTrust’s Data Provisioning engine automates the delivery of datasets to users and systems based on your governance policies and access requirements. Sensitive data is never shared beyond its permitted scope — and every provision is logged, traceable, and revocable.
Policy-Driven Access
Grant or restrict dataset access using fine-grained governance policies tied to user roles, departments, and data classification levels.
User-Scoped Delivery
Automatically tailor the dataset view each user receives — masking, filtering, or truncating fields they are not permitted to see.
Continuous Monitoring
Track every provisioning event in real time with alerts for anomalous access patterns, bulk downloads, or policy violations.
Seamless Integration
Connect to your existing data catalog, identity provider, and warehouses. Provisioning policies apply across all connected sources.
Audit-Ready Logs
Generate compliance-ready reports on all data access events, exportable for GDPR, HIPAA, or internal audit requirements.
Time-Bound Permissions
Set expiry windows on data access grants. Permissions automatically revoke after the defined period, reducing standing exposure.
Privacy Enhancement Techniques activate automatically across your data lifecycle.
Step 1 — Data Ingestion
Raw data enters GoTrust from source systems via connectors or APIs.
Step 2 — Classification
Fields are automatically classified by sensitivity level using detection rules and ML tagging.
Step 3 — Policy Application
PET rules are applied — anonymization, masking, minimization — based on data class and context.
Step 4 — Provisioning
Processed data is provisioned to authorized users within their permitted scope.
Step 5 — Audit & Review
Every action is logged. Compliance reports are generated continuously and on demand.
