2020 was a landmark year for data breaches. This year will likely be no different. More than 8 billion records were exposed in just the first quarter, a 273 percent jump over the same period from 2019. By the end of Q3 2020, a staggering 36 billion records had been exposed. By end of the year, data breaches had struck high-profile organizations including SolarWinds, Facebook, Microsoft, and the U.S. Department of Defense.

Data is the lifeblood of any organization, and thanks to digital transformation, data can be shared easily among many users within and across organizations. Organizations store as well as transmit large amounts of sensitive data and information. As more and more data exchange happens, risks and threats also increase. The average cost of a data breach was $ 3.86 million and surprisingly the average time to identify and contain a breach was a staggering 280 days.

When organizations are attacked by ransomware, only a little more than half are able to recover their data using a backup. This begs the question, “What about the rest? Why might they be unable to recover?” One reason may be that their backup data has been compromised. Backups are a hot target for hackers. If they can get to an organization’s backup data, they have far more leverage.

Hackathons vary in sizes and shapes, but ours has typically been a 24-hour sprint, with teams submitting a five-minute video presenting their project. This year was our biggest hackathon yet, with almost 90 teams registering across a multitude of departments including Support, Sales, Product, Technical Writing, and, of course, Engineering! We crowdsource the first-round judging by asking anyone at Rubrik to participate in evaluating projects.

In this tutorial, we will walk through the end-to-end process of scanning your Amazon S3 buckets for sensitive data with Nightfall’s S3 Sensitive Data Scanner. By the end of this tutorial, you will have an exported spreadsheet report (CSV) of the sensitive data in your S3 buckets.

Cloud security is not only good for consumers — but it’s also a requirement for businesses in many industries. Understanding compliance regulations (like GDPR) and security frameworks (like NIST) can help IT teams create strong, layered privacy and security controls and data loss prevention using a range of platforms and integrations. Here are the most common and comprehensive security standards that businesses need to know to be cloud compliant.

Organizations store high volumes of business-critical information in Amazon S3, such as personally identifiable information (PII), credit card information, secrets & credentials, and more. Identifying and protecting sensitive data in Amazon S3 is increasingly time-consuming, complex, and expensive, especially as your organization takes on more data.

Oracle databases are an integral part of modern technological infrastructure for organizations globally. They underpin high-volume digital business, perform thousands of transactions, and house an organization’s critical and sensitive information. Today’s business requirements and data-driven applications are expanding the definition of “data loss” to include data that is inaccessible to the business for a period to significantly and negatively impact it.

Redundant, obsolete, and trivial (ROT) data refers to information housed in data repositories that is either not in use or not needed in current business operations. These are files just lying around in your data stores, adding to data storage costs.