30 May 2015


Shaun Russell - Informatica

10Posts 22,165Views 0Comments

Data Integration: Data Architecture Needs Data Privacy

30 January 2014  |  2526 views  |  0

A data integration hub is a proven system which provides a self service model for publishing data. Such a hub can enable certain information to be made readily available for a variety of users. However, for those who deploy such hubs for regulated and sensitive data, it is imperative to consider how the issue of privacy is best handled. 

When developing the architecture of such hubs, it is vital to consider how to safely transfer data across varying platforms; including the cyber sphere. The question is, how can we ensure data will be protected across such a heterogeneous environment? 

Then, we need to think about testing connectivity. If data needs to be validated alongside certain security rules, there needs to be some sort of capability to validate such data. However, testers should not have access or visibility into the actual data itself if it is classified as sensitive or confidential.

With such data hubs, the rules are difficult to enforce if data is being requested from one country and received in another. The risk of human error and potential data leakage increases exponentially. 

Rather than reading about a breach in the headlines, it is paramount that preventative measures are put in place. This means that time, and budget has to be invested from the infancy of the project. 

There are technologies that exist in the market which are easy to implement, and designed to prevent this very type of exposure. This technology is called data masking, which deploys the tactics of data obfuscation, encryption and tokenisation. 

This is why it's important to obtain a solid data privacy model, implementing persistent and dynamic data masking options which can be easily and quickly deployed, without the need to develop code or modify the source or target application.

So, when developing your reference architecture for a data integration hub, be sure to use robust data governance policies - don’t wait for the headlines to include your company and someone’s personal data.



Blog updated: 29 May 2015 20:09:29
TagsSecurityRisk & regulation

Comments: (0)

Comment on this story (membership required)
Log in to receive notifications when someone posts a comment

Latest posts from Shaun

What’s Driving Core Banking Modernisation?

24 March 2015  |  1510 views  |  0  |  Recommends 0

Scary Times For Data Security

11 December 2014  |  2416 views  |  0  |  Recommends 0 TagsSecurity

Recognise and empower the best customer-facing staff

07 October 2014  |  2120 views  |  0  |  Recommends 0 TagsPaymentsTransaction banking

3 Data Challenges That Frustrate Chief Risk Officers

30 July 2014  |  1844 views  |  0  |  Recommends 1 TagsTrade executionRisk & regulation

6 steps for data quality competency for an underwriter

30 June 2014  |  3025 views  |  0  |  Recommends 0 TagsRisk & regulation

Shaun's profile

job title Head of Financial Services UK&I
location London
member since 2014
Summary profile See full profile »

Shaun's expertise

What Shaun reads
Shaun writes about
Shaun's blog archive
March 2015 (1)2014 (9)

Who's commenting on Shaun's posts