HPE Nonstop has a well-earned industry reputation. It’s known globally as a foundational technology platform for business-critical data processing. From retail transactions to core banking, and ATM networks to payments — if the stakes are high, you want robust and reliable IT infrastructure that operates at close to zero downtime.
But businesses increasingly want more. They want to turn high-quality data into business advantage by using it for AI, analytics and other cloud initiatives. Doing so securely and at scale has historically been a challenge. The good news is that technology exists today to make this a reality.
Making the Most of Data
HPE Nonstop systems handle much of the most valuable data in the enterprise. High quality, structured information like real-time payment authorizations, settlement/clearing records and behavioral transaction patterns are the stuff of day-to-day operations for most financial institutions. But too often, this data is underutilized for security and compliance reasons — especially the strict rules mandated by PCI DSS 4.0 and GDPR.
The result is that data is replicated in batches rather than streamed, and sensitive fields are masked late in the pipeline. Frequent compliance reviews delay AI initiatives, and can make them less effective if they strip fraud and analytics models of full transaction context.
Time for Change
Traditionally, banks have tackled this challenge by copying data from their core systems and then masking or transforming it downstream, before using it in analytics/AI systems. But this creates extra risk because the data is exposed in transit until protection is applied. And it adds friction because each new use case triggers fresh compliance checks.
It’s time for a new approach: protecting data as soon as it is created, so it remains secure and compliant by design. Under this new model, data can be moved safely anywhere, and leveraged in innovative ways that security and compliance teams will also be happy with.
How TAMUNIO Can Help
How can HPE Nonstop customers achieve this? By adopting comforte’s data-centric security platform TAMUNIO. It embeds protection directly into mission-critical data via:
- Field-level tokenization
- Format-preserving encryption
- Granular, policy-based data access controls
- Unified key and secrets management
- Centralized monitoring and auditing
- Data Sovereignty Zones built on confidential compute
TAMUNIO delivers robust data protection without breaking existing software — ensuring sensitive fields are secured within applications before data is even stored, replicated or streamed. That creates a “best-of-both-worlds” scenario where data can be used to drive business value without compromising on security or compliance.
Three Steps to Success
Consider a hypothetical retail bank running high-volume card processing on HPE Nonstop, using a mission-critical payment switching platform. Its fraud detection machine learning models often have to use limited or stale data due to the security/compliance issues cited above. This can increase the chances of false positives, which in turn increase operating costs and worsen the customer experience.
What’s more, data science teams are limited in the value they can generate for the organization because they are forced to work with datasets that lack some high-risk attributes. Constant security and compliance reviews slow experimentation and time to market for new products and services.
Here’s how TAMUNIO could help in this example:
Step 1: Protect Data at Source
Using TAMUNIO, the bank applies field-level tokenization directly inside the HPE Nonstop environment. Primary Account Number (PAN) and Personally Identifiable Information (PII) data is rendered unreadable in storage, but structure and format are unchanged, ensuring applications continue operating as usual. Transaction data can now be safely replicated and streamed using TAMUNIO.
Step 2: Stream Protected Data in Real Time
Thanks to TAMUNIO’s native Kafka integration, HPE Nonstop data can be streamed directly with no need for any third-party intermediaries. Changes generated within the Nonstop environment are captured and streamed in real time into enterprise data platforms, where they’re converted into an analytics-ready format.
Tokenization at source means the data remains compliant throughout the entire pipeline — enabling real-time use without introducing new exposure risks.
Step 3: Enabling Secure-by-Design AI
The bank can now use the secure, tokenized data in an endless variety of AI use cases. Data science teams can train machine learning models, build LLM-based applications, and generate insights without exposing raw PAN or sensitive PII. Data remains compliant throughout the AI lifecycle — from training to inference.
On limited occasions — such as data cleansing before model training — access to the original data values may be necessary. In these situations, TAMUNION offers Data Sovereignty Zones built on confidential compute. These are hardware-isolated environments which allow controlled detokenization according to policy. Protection is reapplied before data leaves the zone.
A Future of Secure Innovation
In this way, HPE Nonstop customers can scale AI innovation with strictly protected data, enforcing regulatory and sovereignty requirements and tightly controlling any clear-text access. It means more effective fraud prevention and risk modelling, and faster and more confident business decision making.
With TAMUNIO in place, the world’s largest organizations can shift from a porous, perimeter-based security model to more holistic data-centric protection — securing data at source rather than relying on late-stage masking. They can remove compliance bottlenecks and restricted data access — achieving a security- and compliance-by-design approach grounded in policy-controlled usability.
In short, security is no longer a blocker, but a foundation for AI-driven innovation.
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