Digital illustration of a secure database with security features on a dark background

SecureDB for Financial Services

Protect Every Account. Secure Every Transaction.

SecureDB delivers persistent, policy-driven protection for customer financial data, payment records and transaction systems across on-premises, cloud, and hybrid environments—without slowing the business.

Secure All Major Databases

Persistent Data Protection

Encrypt account numbers, card data and customer PII at rest and in use.

Granular Access Control

Enforce least-privilege access for tellers, analysts and administrators.

Real-Time Policy Enforcement

Protect sensitive financial data the moment it is queried.

Comprehensive Visibility

Audit-ready logs and reporting for regulators, auditors and risk teams.

Protect Data Across Your Financial Ecosystem

OnData integrates at the data layer—securing customer and transaction data in motion and at rest across core banking, payments and analytics systems without requiring changes to applications or business processes.

  1. Data is requested by banking applications, analysts or services
  2. OnData intercepts the request and enforces security policy
  3. Sensitive fields are encrypted/decrypted in real time
  4. Authorized data is returned—safely and securely

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Diagram of Ondata Runtime Security Layer with security features and data flow.

Financial data security needs to protect more than storage and
transport.

Most financial institutions already have strong security controls in place. Teams encrypt storage volumes. They use encrypted connections. They manage user entitlements. They secure customer-facing applications. They monitor infrastructure. These are necessary controls, but they do not always protect sensitive values such as account numbers, card data, Social Security numbers and balances once authorized systems, privileged accounts or downstream workflows can access the data.

The risk increases when financial data moves beyond the core system of record. Transaction data may be copied into a warehouse, used in a data lake for fraud analytics, sent through an ETL pipeline, replicated to a regulatory reporting database or exported into a staging environment. Development and quality assurance teams may need realistic data to test banking and payment applications. Fraud and risk analysts may need to correlate activity across accounts without direct visibility into the underlying customer data. Compliance teams may need to show auditors and regulators that cardholder and customer data is protected consistently under frameworks such as PCI DSS, GLBA and SOX.

SecureDB helps financial institutions protect sensitive database fields before those movements create exposure.

Runtime encryption for persistent financial data protection

SecureDB uses OnData's patented runtime encryption and access management technology to protect sensitive financial data beyond the traditional boundaries of data-at-rest and data-in-transit encryption. Account numbers, card data and customer PII can remain encrypted while moving through core banking databases, payment applications, ETL pipelines, data warehouses and analytics environments.

Authorized users and applications can access the original data when policy allows. Unauthorized users, compromised accounts or downstream systems without explicit permission cannot view meaningful sensitive values. This helps banks, credit unions, insurers, payment providers and investment firms reduce the impact of a breach while preserving the ability to process transactions, detect fraud and analyze data safely.

How SecureDB works

  1. Identify sensitive data: Security and data teams determine which database fields contain account numbers, cardholder data, customer PII or other regulated financial information.
  2. Classify and apply rules: Teams classify fields and apply protection rules based on data type, line of business, user role and regulatory requirements such as PCI DSS and GLBA.
  3. Encrypt sensitive values: SecureDB applies runtime encryption designed to protect financial data while keeping transaction processing and other authorized workflows operational.
  4. Enforce need-to-know access: Access to original sensitive data is controlled through identity-based authorization so only approved users or systems, such as payment processing or fraud investigation teams, can view clear data.
  5. Support downstream use: Protected data can move into ETL, regulatory reporting, fraud analytics, test or data warehouse environments without exposing unnecessary customer data.
  6. Audit sensitive data usage: Access activity can be logged to support internal monitoring, fraud investigations, audits and regulatory reporting.
Table with customer information including CustomerID, CompanyName, ContactName, and ContactTitle.
Table with CustomerID, CompanyName, ContactName, and ContactTitle columns.

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