General Data Protection Regulation


The EU’s GDPR (General Data Protection Regulation) is the latest challenge facing the data-driven enterprise – and perhaps the most demanding to date, extending significant data protections to EU citizens no matter where they work, live, or do business. These are deep requirements for data controllers, and beg the question ‘how does GDPR fit into the spectrum of enterprise data management techniques and technologies?’ Compliance cannot be achieved with a single, one-stop GDPR solution, also true with regulations such as HIPAA, PCI-DSS, GLBA, OSFI/PIPEDA, and FERPA. Ideally, compliance is handled more holistically – creating an environment of preparedness and data privacy with a smart, long-term approach to data protection.   As this regulation is set to become effective in May 2018, organizations are doing everything they can to ensure their compliance on time.

Because there is no single compliance solution, enterprises must consider tools and techniques for protecting data as it moves throughout processes, operations, applications, analytics, and more. To achieve this seamlessly, any point of data integration or access must ideally be protected by either an encryption or enterprise data masking solution.

Click here to download the new Accutive white paper:
Encryption or Data Masking: Evaluating Strategies for GDPR Compliance.

Identity and Access Management

Accutive offers a range of Identity assurance and access management solutions to help protect the data of your customers. Some examples of this are: USB PKI Tokens, Smart cards and readers, OTP Authenticators, Authentication-as-a-Service, etc.

Enterprise Data Encryption Solutions

Data-at-Rest and Data-in-Motion Encryption solutions are needed by all organizations.  Encryption applies security and access controls directly to your sensitive structured and unstructured data – wherever it resides.  Companies must address threats to sensitive data as it moves through the networks and into the cloud.

Enterprise Data Masking

While encryption is a common technique used to protect data in production environments, data masking is considered the preferred technique to protect data in non-production environments. Data masking retains statistical properties, formatting integrity, and realism of actual data for ease of use in Development and Testing environments.