Azure Databricks – Bring Your Own VNET
Azure Databricks Unified Analytics Platform is the result of a joint product/engineering effort between Databricks and Microsoft. It’s available as a managed first-party service on Azure Public Cloud. Along with one-click setup (manual/automated), managed clusters (including Delta), and collaborative workspaces, the platform has native integration with other Azure first-party services, such as Azure Blob Storage,...
Securely accessing external data sources from Databricks for AWS
Databricks Unified Analytics Platform, built by the original creators of Apache SparkTM, brings Data Engineers, Data Scientists and Business Analysts together with data on a single platform. It allows them to collaborate and create the next generation of innovative products and services. In order to create the analytics needed to power these next-gen products, Data...
Databricks Security Advisory: Critical Runc Vulnerability (CVE-2019-5736)
Databricks became aware of a new critical runc vulnerability (CVE-2019-5736) on February 12, 2019 that allows malicious container users to gain root access to the host operating system. This vulnerability affects many container runtimes, including Docker and LXC. The Databricks security team has evaluated the vulnerability and confirmed that, due to the Databricks platform architecture,...
Is your AI software vendor taking security shortcuts?
This is the final part of our blog series on security available here. In this blog, I will be talking about our culture of security at Databricks. Artificial intelligence software that can learn and improve human decision-making is transforming business. All sorts of companies are looking to AI to gain an edge over competitors. Unfortunately,...
Are you ready to scale your Data and AI initiatives? How will you scale your security?
This is Blog #3 in a series of blog posts about Databricks security. My colleagues David Cook (our CISO) and David Meyer (SVP products) laid out Databricks' approach to Security in blog #1 & blog #2. With this blog, I will be talking about deploying and operating Databricks at scale while minimizing human error. Democratize...
Do you DIY your AI? You are probably failing on security.
This is Blog #2 in a series of blog posts about Databricks security. My colleague David Cook (our CISO) laid out Databricks' approach to Security in blog #1. With this blog, I will be talking in detail about our platform. DIY Platforms: A Lack of Cohesion in Security Many companies today operate on homegrown DIY big...
The three biggest security challenges facing AI and data initiatives
In today’s business climate, the ability to anticipate and meet customer needs is central to success. Forward looking business leaders are looking to unleash the power of Artificial Intelligence (AI) to drive innovation, but this requires bringing together diverse teams and large volumes of data. With attackers getting more sophisticated, securing these complex data workflows...
Securely Managing Credentials in Databricks
Customers today leverage a variety of data sources to perform complex queries to drive business insight. For example, to better understand user behavior, an analyst might correlate click-through analytics streams from their data warehouse with customer metadata from Salesforce. The Databricks Runtime provides a variety of built-in Apache Spark™ data source connectors (AWS | Azure),...
Improving Threat Detection in a Big Data World
High-profile cybersecurity breaches dominated headlines in 2017. In the first half of the year, over 1.9B records were stolen. That’s more than 7,000 records breached every minute. And the fallout from a single event can be staggering. Customer attrition, negative PR and regulatory fines amount to millions in financial losses. In fact, according to recent...
Best Practices for Coarse Grained Data Security in Databricks
At Databricks, we work with hundreds of companies, all pushing the bleeding edge in their respective industries. We want to share patterns for securing data so that your organization can leverage best practices as opposed to recreating the wheel when you on -board to Databricks’ Unified Analytics Platform. This post is primarily aimed at those...
