Protecting Data at the Edge

Encrypt, mask and tokenise sensitive data the moment it leaves the source — before it ever reaches a downstream system.

SOLUTION 02
DATA PRIVACY & PROTECTION

Trapped Between Two Incomplete Approaches

Protect at the Destination

Apply security controls only after data has already arrived in downstream systems, analytics platforms or the cloud.

Rely on the Perimeter

Depend on network and perimeter security alone, and hope sensitive data is never exposed while it’s in transit.

Encrypt, mask and tokenise sensitive data the moment it leaves the source — before it ever reaches a downstream system.

Neither approach protects the data itself. Modern organisations need security embedded at the point data is unlocked — not layered on afterwards.

Downstream Controls Are Fragile. Perimeters Aren’t Enough.

Destination-Only Encryption

  • Leaves a real exposure window between creation and control
  • Forces every downstream tool to enforce its own protection
  • Creates inconsistent controls across hybrid environments
  • Widens the gap between source and destination compliance

Perimeter-Only Security

  • Assumes the breach will never reach the data itself
  • Does nothing to reduce insider or credential-based risk
  • One breach exposes data in full, unprotected form
  • Provides no lineage or audit trail once data has moved

A Protected-by-Design Data Strategy

CCA and OpenText embed encryption, masking and tokenisation at the point data is unlocked — so sensitive fields are already protected before they ever reach a modern platform.

Protection at the Source, Not the Destination

Security starts where data is created, eliminating the risk window between creation and downstream controls.

Shift-left security embeds encryption, masking and policy enforcement into the replication pipeline itself, by design.

Sensitive records encrypted, masked and tokenised at the point they leave the source system, before reaching any downstream platform

Significantly Reduces Exposure Risk

  • Eliminates the gap between data creation and protection
  • Removes reliance on multiple downstream tools to “fix” exposed data
  • Supports zero-trust data flows across every environment
  • Enables safe consumption for cloud, AI and analytics platforms

Data sealed the instant it is created, removing the gap between creation and downstream controls

Protected Data, End to End

Trusted, policy-enforced protection from the moment data leaves the source system.

Source System

Mainframe / legacy platform

Encrypt & Tokenise

At the point of origin

Modern Platforms

Cloud, analytics, AI

Purpose-Built Components, Working as One

OpenText Voltage Data Security Platform (DSP)

Discovers and automatically classifies structured data assets — what exists, where it resides, and how it should be governed.

Rocket Data Replicate and Sync (RDRS)

Real-time change data capture and synchronisation across legacy and modern environments, as changes occur.

CCA Secure Data Connector

Integrates real-time replication with protection services so sensitive data stays protected throughout synchronisation.

OpenText Voltage SecureData

Encryption, format-preserving encryption, tokenisation and policy-driven controls — without impacting usability.

What the Solution Delivers

Format-Preserving Encryption

Protects structured data without breaking downstream applications or workflows.

Tokenisation for Analytics & AI

Lets teams work with data safely, without ever exposing the raw sensitive values.

Zero-Trust Data Flows

Treats every movement of data as a risk to be controlled, not assumed safe.

Consistent Policy Enforcement

Applies the same governance across mainframe, distributed and cloud environments.

Outcomes That Matter to the Business

Protect Data Before It Moves

Enable Safe Analytics & AI Consumption

Reduce Downstream Tooling & Complexity

Support Zero-Trust Architecture

Simplify Compliance & Audit

See what protected-by-design data makes possible for your organisation.

Talk to a consultant about embedding encryption and tokenisation into your data pipelines.

Talk to a consultant
A phased path leading from current-state systems to a clearly defined business outcome