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The latest News and Information on Data Security including privacy, protection, and encryption.

Is Google Drive HIPAA Compliant?

Google Drive is one of the oldest and most well known cloud storage and productivity suites. Although Google Drive launched in 2012, Google’s productivity platform dates back to 2006, when Google Docs and Google Sheets first launched. Over the years, Google would more closely integrate these services before moving them under the Google Drive and Google Suite brand. Today, Google Drive and Google’s entire suite of collaborative tools are referred to as Google Workspace.

PII Compliance Checklist & Best Practices

Research from Gartner suggests that, by 2023, more than 60% of the world’s population will be covered by some form of personal data protection legislation. From GDPR to CalPRA, privacy regulations are on the rise. These compliance regimes aim to protect a user’s rights to their data — which, in practice, means that businesses need to implement more effective approaches to security.

Open source data loss prevention for helpdesk ticketing systems

When your customers want help, ticketing systems provide the first line of communication between your company and your customers. Solving a problem or resolving an issue for your customers often requires collecting a lot of information and context throughout the support interaction. Especially today, these interactions can be captured through a myriad of channels including but not limited to messaging apps, SMS, social media, help centers, forums, bots, video conferencing, and more.

PHI Compliance: What It Is and How To Achieve It

For organizations that work in or partner with the healthcare industry, HIPAA compliance is of paramount importance. Keeping a patient’s medical records and personal information safe isn’t just a matter of avoiding penalties. It’s also key to building trust with patients and, ultimately, providing great patient care. Here’s what health organizations and their partners need to know about PHI and keeping it secure.

Is Slack Secure? Vulnerabilities and Solutions

Slack has become one of the most integral platforms for businesses over the last decade, with more than 12 million users currently active. Despite its popularity, however, there are some Slack security concerns that linger from the platform’s 2015 security breach. Here’s what you need to know about Slack security and how to protect your sensitive information on the platform.

Is Atlassian Cloud HIPAA Compliant?

In 2021, digital transformation has accelerated. At the tail end of the COVID pandemic, with companies remaining remote, the demand for cloud services in the enterprise is the highest It’s ever been. Healthcare organizations, which more directly encountered the acute challenges posed by the pandemic, were among the first to be shaped by the current wave of digital transformation.

Nightfall's DLP API Adds Data Discovery and Classification to Your Applications

As a cloud-native data loss prevention solution, Nightfall DLP can natively integrate with some of the most popular SaaS applications in order to protect against the proliferation of sensitive data in these environments. With our native integrations, Nightfall helps keep client data safe on apps including Slack, GitHub, Google Drive, Confluence, and Jira. But did you know that Nightfall also exists as a standalone DLP API?

Fork is The Way - Let's Make it Hurt Less

The Linux/UNIX process model creates a new process by cloning the currently running one using the fork() system call. Subsequently, exec()—or one of its variants—loads a new program image into the newly cloned child process. There are a variety of issues that stem from using this approach in modern systems. There are also various widely used techniques and APIs aiming to alleviate the issues in different ways with different degrees of success and quirks.

Data Warehouse vs Data Lake - Which Is Best?

While both data warehouses and lakes are big data storage solutions, they are useful in distinctly different situations. Data warehouses store structured data that can be accessed and interpreted by anyone with permission to do so, whereas a data lake is an unstructured storage space for large quantities of raw data. Data lakes store big data in its raw form, with minimal structure and few controls over what data is included or excluded from the storage space.