Data breach stories are all over the news these days, as companies struggle to protect personal data. To avoid steep fines and reputational damage, GDPR compliance is critical. And while GDPR compliance may be top of mind, as it carries the highest financial penalties, you may also need to comply with additional regulations, such as HIPAA, HITECH, PCI, the California Consumer Privacy Act and others. Add to all this, the pressure to support DevOps, while still protecting personal data.
As a DBA, data protection for GDPR compliance most likely falls squarely on your shoulders. But GDPR compliance first requires an assessment of where sensitive data is across all your Oracle databases, making sensitive data discovery one of the first challenges you face – before you can even begin to apply personal data protection.
If you’ve been manually trawling through Oracle database tables to identify sensitive data, you know you need a faster, more effective way to perform sensitive data discovery. What if you could automate the sensitive data discovery process and identify exactly where sensitive data is stored – and even help developers visually identify when sensitive data is being used? This would reduce risk and give you more time to focus on other tasks.
In this session, you’ll see how to simplify and automate sensitive data discovery. You’ll also see how to determine and apply the most appropriate safeguards for your company to minimize data breaches, strengthen data protection and achieve GDPR compliance.