The latest News and Information on Data Security including privacy, protection, and encryption.
Start-ups committed to becoming something special begin building their new business as they mean to go on, particularly in the potentially business velocity-killing areas of security and compliance. For start-ups in highly regulated industries like healthcare and finance, the requirement to have the right technical and organizational controls in place is nothing less than existential.
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.
End of summer 2020: Bearer takes the decision to pivot. We have been building an API monitoring & debugging solution for engineering and DevOps teams. We have a stable product and dozens of users onboard. Even so, after months of iterations product adoption is still low and our positioning with all-in-one monitoring solutions is disadvantageous. Product-Market-Fit (PMF) is definitely not in the line of sight.
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.
