Data compliance and security are more important than ever. Especially for sensitive data in non-production environments. But ensuring compliance and security is easier said than done.
Compliance requires satisfying data privacy regulations. Yet those regulations evolve, and new regulations emerge. Security requires securing data copies in every non-production environment. Yet multiple non-production environments exist for every production environment. And to top it off, what if ensuring data compliance and security in non-production comes at the cost of development speed or software quality?
We’ve heard concerns like this from countless enterprises for years. But the research data around those concerns didn’t exist. Until now.
Get the unique research data and insights in the inaugural State of Data Compliance and Security Report. Fill out the form today to get your copy.
We partnered with a third-party research firm to survey 250 global enterprise leaders.
They answered questions like:
How has the volume of sensitive data increased in non-production?
Why do you believe the volume of sensitive data has increased?
How confident are you that sensitive data is properly protected in non-production environments?
Has your organization experienced any of the following involving sensitive data in non-production environments: audit issues/failures, data breaches/theft, data corruption/alteration, ransomware, regulatory non-compliance status/fines?
How concerned are you about the expanded exposure footprint in non-production environments at your organizations?
How is your organization protecting sensitive data in non-production environments?
Does your organization allow data compliance exceptions in non-production?
The results are unique data and insights that you can’t find anywhere else.
The results of the survey — detailed in this report — surprised us.
54% of organizations have already experienced a data breach or theft involving sensitive data in non-production environments. This could be the result of 86% allowing some data compliance exceptions for non-production. And this is all happening even though 91% are concerned about the expanded exposure footprint in non-production.
To top it off, there are also unique concerns about data privacy in AI environments. 68% perceive a lack of solutions to tackle data privacy in AI environments.
This report is designed to help global enterprise leaders:
Understand the state of data compliance and security in non-production today.
Identify how to better protect their sensitive data in non-production in the future.
The analysis in this report is relevant to leaders (C-suite Executives, VPs, Directors, and Managers) in the following functional areas:
Application Development (AppDev).
Application Testing/Quality Assurance (QA).
Data and Analytics.
Data Engineering.
DevOps.
Information Security (InfoSec).
IT Operations (IT Ops).
Privacy and Compliance.
And more.