The latest News and Information on Data Security including privacy, protection, and encryption.
The risks of a data leak have never been higher. Over the last year, data breach costs rose from $3.86 million to $4.24 million, a record high. Data exfiltration, sophisticated hacker attacks, and even insider threats are forcing organizations across the board to take a more sophisticated, multi-layered approach to data security. Enter: data masking. Data masking is a simple technique that can help organizations continue to work productively while keeping sensitive data stored safely.
SAP HANA is often a database of choice for large enterprises looking to drive more significant insights and quick decision-making through real-time or advanced analytics. As a result, SAP HANA has become key to driving day-to-day operations for many organizations and must be protected to guarantee maximum availability. However, managing this protection is no easy feat.
Since January 2020, Microsoft Azure SQL DB has grown nearly 3x in popularity. This rapid growth comes as no surprise as Platform-as-a-service (PaaS) offerings have many benefits in the migration strategy from traditional SQL Server database workloads. The Microsoft PaaS offering, Azure SQL Database, takes care of mundane tasks once performed by Infrastructure Engineers such as patching operating systems and applying SQL Server updates or critical security patches.
In this tutorial, we will create and deploy a server that scans files for sensitive data (like credit card numbers) with Nightfall’s data loss prevention APIs and the Flask framework. The service ingests a local file, scans it for sensitive data with Nightfall, and displays the results in a simple table UI. We’ll deploy the server on Render (a PaaS Heroku alternative) so that you can serve your application publicly in production instead of running it off your local machine.
In this tutorial, we will create and deploy a server that scans files for sensitive data (like credit card numbers) with Nightfall’s data loss prevention (DLP) APIs and the Flask framework. The service ingests a local file, scans it for sensitive data with Nightfall, and displays the results in a simple table UI. We’ll deploy the server on Render (a PaaS Heroku alternative) so that you can serve your application publicly in production instead of running it off your local machine.
You run many of your business-critical applications on Nutanix AHV. Protecting your data from cyberattacks and being able to quickly restore your applications, so your business can continue as usual. This is why, at Rubrik, we continue to innovate and expand protection for virtual environments, and we are humbled and proud to be a trusted partner when it comes to protecting businesses.
Microsoft SQL Server and Oracle Database play a critical role in almost every IT environment. That’s why from the beginning, Rubrik has focused on delivering a single platform that converges data protection and data security to ensure you can rapidly and reliably recover when disaster strikes. Our initial release automated the backup of databases with a single SLA policy engine that enabled customers to automatically protect their Microsoft SQL Server and Oracle databases as they were created.
