How are enterprises bringing together data access, security and compliance?
As organizations increasingly look to data and AI to help drive innovation and competitive advantage, business leaders are faced with two seemingly contradicting imperatives: make all enterprise data accessible and ensure that information is secure and compliant. As strategies and solutions evolve, enterprises are coming to realize that this thought is a false dichotomy — the same tools that help businesses stay compliant with the latest data privacy regulations can help them take advantage of their data better, too.
38% said a barrier they faced in seeking closer alignment to GDPR was the complexity of aligning the IT landscape.1
Historically, the data privacy and security landscape has been plagued by piecemeal approaches, employing a web of disparate point solutions that, when cobbled together in aggregate, provide the necessary view and understanding needed. At best, this approach creates a complicated architecture, requiring additional time and resources to manually integrate. At worst, it fails to deliver a complete view of data and its usage, leaving blind spots that can open the business up to unknown risks — increasing the potential for the losses and fines associated with breaches or noncompliance.
“When executives were asked to rate the top challenges organizations face while preparing for the CCPA, legacy IT (42%) emerged as critical”1
To combat this issue, leading businesses are looking to more holistic strategies and solutions that provide visibility across the entire data and AI lifecycle — from building and securing a trusted, compliant data foundation to optimizing AI models and their impact on the business and, ultimately, auditing and regulating compliance. Organizations need a unified solution from which they can view the impact of sensitive data and universally enforce policies.
In this paper, we dig deeper into each of those key areas to explore the vital data privacy and security elements at each stage of the journey.