The latest News and Information on Data Security including privacy, protection, and encryption.
Shadow data can be defined as any data that is not available or subject to an organization’s centralized data management framework. Examples of shadow data include: Shadow data is, first and foremost, a problem for security and compliance teams. How can they take responsibility for the security and compliance of data stores they aren’t aware of or over which they have little or no control?
Spending on security and risk management is soaring worldwide. But exactly which improvements should you focus on next to best strengthen your cybersecurity program? For many organizations, building a solid information security architecture should be at the top of the list. Read on to learn how what information security architecture is and how it can help you protect your critical IT assets from security threats with less work and worry.
Mega-breaches, or reported breach incidents that impact more than one million records, have increased dramatically. Our analysis shows that, on average, mega-breaches increased 36% year over year since 2016. In total, mega-breach incidents that we analyzed cost at minimum a combined $8.8 billion and exposed 51 billion records.
Jira and Confluence house high volumes of customer information, tickets, notes, wiki articles, and more. To scan Jira and Confluence Data Center or Server editions, you can use Nightfall’s APIs to scan data at-rest in these silos. In this article, we’ll walk through how you can run a full historical scan on your Jira and Confluence data to discover sensitive data, like API keys and PII. The output will be a report detailing the sensitive findings discovered in your environment.
Security and privacy are inherently linked, yet decisions about each are often made in silos. It can be a challenge for teams of all sizes, with varied specialities, to connect the two domains. With that in mind, we’re pleased to announce our first live panel event: How do you bridge the gap between data security and privacy?
It was 11 PM on a Friday in November of 2019. WED2B IT systems administrator Jamie Jeeves started receiving a barrage of email alerts warning that antivirus (AV) clients were crashing in the company’s central office. All prospects for a relaxing weekend vanished when Jeeves logged into the remote system to investigate the AV shutdowns. While checking the network’s file share, Jeeves noticed they were in trouble. Mass encryption of data was underway.
In some ways, IT teams had a great life in the early 2000s. Data was stored inside data centers and accessed through known ingress and egress points like a castle with a limited number of gates. As a result, organizations had control over exactly whom and what devices could access company data. This is no longer the case. With users accessing cloud applications with whatever networks and devices are at their disposal, those defense mechanisms have become inadequate.