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.
With the introduction of more data privacy laws, companies can use a data security strategy and framework to help them achieve better compliance. This is the second post in a data protection blog series that addresses how organizations can better protect their sensitive data. This blog post addresses data privacy laws, frameworks, and how organizations can create their own data security strategies and frameworks to achieve compliance with today’s data privacy laws and standards.
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.
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?
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.
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.
DevSecOps follows the same trend as Agile and DevOps: how can developers create software that’s better, faster, and less expensive? The DevSecOps motto — “software, safer, sooner” adds the missing piece to the latest approach to quicker product development. Security, previously an afterthought in the product development lifecycle, is now becoming an integral part of the process.
Cloud programs like Slack and Google Drive allow businesses to work collaboratively and efficiently, often at a low cost. However, these cloud platforms open a business up to new levels of risk: sharing information via cloud programs can put customer data at risk. Cloud security architecture provides a way to recognize and remedy vulnerabilities that result from using cloud service providers (CSPs).
Many organizations recognize the emergent need to discover, classify, and protect their sensitive information stored in cloud applications (SaaS) and infrastructure (IaaS) via a dedicated cloud content inspection process. However, cloud-native detection engines are a relatively new technology, and many corporate Information Security teams or Product Security developers are, understandably, not yet familiar with how to effectively evaluate cloud content detection.
