erforce Software – a DevOps

“ Our goal with this report is to share the realities of sensitive data exposures in non-production to help enterprises better protect their data moving forward ,” said Ann Rosen , Director of Product Marketing for Delphix by Perforce . “ Protecting sensitive data – data with personal identifiable information ( PII ) – in non-production has become more important over the years as cyberattacks target these environments . Companies need to do more to protect sensitive data .”

The report also reveals that the challenge of protecting sensitive data will only get more complex with the rise of AI . Over four-fifths ( 85 %) of enterprises report concerns about regulatory noncompliance in AI environments . Even more troubling , 68 % of organisations surveyed perceive a lack of solutions to tackle data privacy in AI environments .

“ AI is transforming industries , and data is at the heart of AI ,” said Rod Cope , Chief Technology Officer of Perforce Software . “ When it comes to AI and data , it can be a double-edged sword . There ’ s a lot of excitement around the innovation possible in AI , but data in AI environments must be protected . The findings in the State of Data Compliance and Security Report underline the importance of complying with data privacy regulations in AI environments , too .”

Overall , 91 % of organisations are concerned about the expanded exposure footprint across all lower environments ( including software development , testing and data analytics ). Yet 86 % of organisations allow data compliance exceptions in nonproduction . As a result , 54 % of organisations have already experienced a data breach or theft involving sensitive data in non-production environments . In Delphix ’ s experience , if this data is not protected , the consequences can be dire . Over half ( 53 %) have already experienced audit issues and failures related to non-production .

To mitigate these concerns , organisations are turning to tools and approaches like static data masking , cited as a current solution by 66 % of organisations surveyed .

“ We hear all the time from customers that exceptions are given because it ’ s too complicated and timeconsuming to achieve compliance without slowing down development or impacting quality ,” said David Wells , Product Lead of Compliance Products for Delphix by Perforce . “ At Delphix and Perforce , we believe that with the right approach , you can achieve compliance rapidly without bottlenecking innovation . Static data masking is the best way to protect your test and development data . You need production-realistic data to detect defects as early as possible in the development lifecycle , but you certainly shouldn ’ t use production data for this purpose . That ’ s why we ’ re continuously evolving Delphix masking solutions to meet the everexpanding data compliance landscape , regardless of data source or environment .”

We hear from Haider Pasha , CSO , EMEA & LATAM , Palo Alto Networks ; Samantha Kight , Head of Industry Security , GSMA ; and Christian Have , CTO , Logpoint , who share their thoughts and advice on how security leaders can protect data alongside sweeping innovations .

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