Develop Data Privacy Metrics That Matter to the Business
GDPR compliance may help you avoid fines, but it’s also an opportunity to show how data privacy contributes to real business value and growth.
GDPR Requires Accurate Discovery of All Personal Data
You have to know where sensitive and personal data is located before you can take steps to protect it. That’s not an easy task without Dataguise.
Accelerate GDPR Compliance with Dataguise DgSecure
Technology alone won’t achieve GDPR compliance. But one technology solution can help you get there faster, with a stronger footing, than any other.
On May 25, 2018, organizations must comply with the General Data Protection Regulation (GDPR). Not ready? Contact us.
GDPR Compliance at a Glance
1Know and document all the personal data your organization holds—any type of data, in any system or repository, at any time.
This is the foundation of all GDPR compliance and involves identifying and reporting the exact location of all personal data you have, in all its varied and vague formats. That’s no small feat for any company, but it is especially challenging for large, global organizations with petabytes of data moving across cloud and on-premises environments. Learn how Dataguise can help.
2Without delay, inform individuals of all the personal data you hold about them—and why, how, and by whom it is being used.
The “right of access” mandate in the GDPR gives individuals the right to know what data you hold about them, how and why it is being used and accessed, and by whom. You must be able to retrieve and present this information without delay. Learn how Dataguise can help.
3Protect personal data at all times—via access policies, pseudonymization (masking), encryption, or erasure.
The existence of appropriate safeguards, such as pseudonymization or encryption, may help you retain personal data for business processing by you or a third party, and will also reduce your compliance burden in the event of a data breach. At the same time, you must be prepared to erase personal data when individuals exercise their “right to be forgotten.” Learn how Dataguise can help.
4Detect, investigate, and report a personal data breach—and notify those affected within 72 hours.
You’ll need to notify your supervisory data authority and/or affected data subjects as early as 72 hours after becoming aware of a high-risk data breach. As soon as possible you should be able to pinpoint exactly which data was exposed, how and when the unauthorized access occurred, and the measures you’ve taken to mitigate adverse effects. Monitoring personal data more precisely will help speed time to resolution. Learn how Dataguise can help.
5Put in place and maintain records of personal data protection policies and processes to demonstrate GDPR compliance.
In addition to documenting data protection policies and processing activities, you may need to keep track of which people or systems are accessing personal data, whether inside or outside your organization. Data transfers to third parties or countries may also require additional documentation of technical security measures. Learn how Dataguise can help.
Barry RussellGeneral Manager of Global Business Development / AWS Marketplace and Catalog Services
Our customers need streamlined access to easy-to-use software like DgSecure that is available quickly to help them access, monitor and audit their sensitive information running on AWS.
Ari ZilkaChief Technology Officer / Hortonworks
Dataguise delivers a unique and critical solution to secure and protect Hadoop data. We are pleased to work together to deliver enterprises with big data the flexibility, agility, and security they need to operate efficiently and risk-free.
Alan GearySenior Director of Business Development / MapR
Dataguise secures sensitive data against unauthorized access and delivers actionable intelligence that reduces risk and ensures compliance.
Contact Us for a GDPR Demo Today
Identify, protect, and monitor all personal data on premises and in the cloud from a single dashboard.
- One technology solution.
- Any type of data.
- Any platform or repository.
- Any scale.