We dare you to go to your mobile device and search for a health and wellness app already installed. Truth is, even if you did not actually download it, your operating system most likely came with at least one app like that. Now, you might have chosen to delete such an app, in which case, we lost the dare. But it does not deny the fact that your mobile device, the very one that lets you shop, communicate, work, or travel, has just as much potential to assist in your well-being.
When Kudu was first introduced as a part of CDH in 2017, it didn’t support any kind of authorization so only air-gapped and non-secure use cases were satisfied. Coarse-grained authorization was added along with authentication in CDH 5.11 (Kudu 1.3.0) which made it possible to restrict access only to Apache Impala where Apache Sentry policies could be applied, enabling a lot more use cases.
Imagine you’re going through immigration at the airport. The immigration officer says, “I don’t need your passport because I trust that you are who you claim to be.” Wait, what? That would never happen, right? That’s because trust is exploitable. Sooner or later, somebody will try to lie about who they are, and thus a criminal could enter the country. That’s why countries must enforce some form of identity, like a passport, to certify travelers are who they claim.
You may have read about Snowflake’s IPO last year. But you probably didn’t hear about all the work that the Snowflake security team did in preparation. Our corporate security program went through a security analytics review to ensure that it satisfied the new security policy requirements resulting from the IPO. Here are a few lessons that we learned when setting up automated security control validation on our Snowflake security data lake.
How vulnerable is your sensitive data? Your data policies may put this information at risk of being breached. An ad hoc approach for dealing with this data makes it difficult to maintain your organization’s cybersecurity. Data obfuscation holds the key to improving your security and making it easier to use your data, but it must be driven by your policies to be effective.
Snowflake recently launched dynamic data masking, an incredibly useful feature for companies and data-centric organizations that have strict security data governance requirements. This article demonstrates how we implemented data masking at Snowflake by introducing a data masking policy on a VARIANT data type field that holds data in JSON format. We implemented the policy on top of tables and views.
Today’s Data Privacy Day offers consumers an opportunity to learn about how companies use, collect, and share their personal information. At the same time, it gives companies a chance to focus on and highlight how they are protecting customer data. Although most businesses view data privacy practices as a way to mitigate their risk, good practices around data privacy can actually differentiate your organization from your competitors.
