This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Business Strategy Case Study
An international bank reduces data management resource workload by using automated sensitive information discovery tools from GeoLang
To slash resource costs an international bank headquartered in the UK chose to automate the discovery of sensitive data in the Atlassian suite of solutions (Jira, Confluence, Bitbucket), both on-premise and in the cloud, with GeoLang Data Discovery.
The challenge – Managing massive amounts of growing sensitive data across the business
The bank is responsible for managing large amounts of sensitive personal information in accordance with FCA, PRA and GDPR regulations. They need to protect customer data, provide proof that data is being managed correctly for audits, ensure that data is kept in accordance with regulations to avoid fines and understand where their data resides so that they can reduce risk from human error and cyber-attack.
Managing all their sensitive data was a mammoth task – they used a large team of people to manually scan their digital estate to discover the sensitive data that was stored across the whole UK business. While this process was a massive drain on resources and budgets, it was very necessary.
Our customer realised that as the number of business applications grew, automating the data discovery process was becoming crucial to ensure compliance and reduce security risks as well as costs.
The bank selected GeoLang Data Discovery to scan over 2 terabytes of data an amount that is continually increasing and report on all the sensitive data that is being stored in their on-premise and cloud solutions.
Without adopting this change to automated data discovery, they would have needed to add more resources and increased budgets, while always being at risk of human error and key sensitive data being missed.
GeoLang Data Discovery
- Not heavyweight DLP
- Quick to deploy
- Easy to use
- No business disruption
- Little admin time needed
- Scan Atlassian products on-premise and in the cloud
Cyber-attack is the top business risk faced in Financial Services in 2022.
Allianz Risk – Barometer 2022
Automating the data discovery process for sensitive data in Atlassian Confluence, Jira, Bitbucket and more
Like many other financial services businesses, the bank are using the Atlassian suite of solutions.
Our customer searched for a solution to automate the data discovery process but struggled to identify a data discovery solution that was able to scan Atlassian products that were deployed on-premise and in the cloud. After a comprehensive review of the data discovery market, testing many solutions, they identified GeoLang Data Discovery as the right tool to move forward with.
Geolang Data Discovery automates the data discovery process and quickly scans endpoints (PC, MAC, Linux), servers, and day-to-day business management solutions such as Office 365, Google Workspace, Alfresco, and Atlassian Jira, Confluence and Bitbucket. The GeoLang solution reports on the type of sensitive data being stored and where it is held, alerting on any data that is out of line with compliance regulations.
The Result
Realised significant efficiencies as a result of using automated data discovery versus manual data scanning
Resource reduction
By automating the process, the cost of running the team was massively reduced and resources were reallocated to different tasks strengthening the bank’s digital security posture.
Quickly respond to audits
The bank is now able to easily and quickly answer any questions raised during internal and external audits and show, thorough reports, that data is being managed correctly.
Improved compliance
Automation of the process of sensitive data discovery means the bank is no longer at risk of breaching regulations due to human error or through a member of staff missing a key piece of sensitive data.
Continual employee training
GeoLang Data Discovery sends real-time alerts to users when they are about to create or save a file containing sensitive data in a way that breaks company policy. This process educates employees about how to handle data, constantly improving the way that data is managed internally.
90% of current IT budgets are spent simply trying to manage internal complexities, with precious little money actually spent on data innovation that improves either productivity or the customer experience.
Harvard Business Review