The Databricks just-in-time data platform takes a holistic approach to solving the enterprise security challenge by building all the facets of security — encryption, identity management, role-based access control, data governance, and compliance standards — natively into the data platform with DBES.
- Encryption: Provides strong encryption at rest and inflight with best-in-class standards such as SSL and keys stored in AWS Key Management System (KMS).
- Integrated Identity Management: Facilitates seamless integration with enterprise identity providers via SAML 2.0 and Active Directory.
- Role-Based Access Control: Enables fine-grain management access to every component of the enterprise data infrastructure, including files, clusters, code, application deployments, dashboards, and reports.
- Data Governance: Guarantees the ability to monitor and audit all actions taken in every aspect of the enterprise data infrastructure.
- Compliance Standards: Achieves security compliance standards that exceed the high standards of FedRAMP as part of Databricks’ ongoing DBES strategy.
In short, DBES will provide holistic security in every aspect of the entire big d
As enterprises come to depend on technologies like Spark and Hadoop, they need to have techniques and technologies to ensure that data remains secure. This is a sign of a maturing platform.
Now you’ve migrated the logins with their passwords, SIDs, and a few default properties. But you don’t have the logins’ server roles, server permission sets, database roles or database permission sets. So now you gotta find and use someone’s modified version of sp_help_revlogin, but you’re still left with manually executing the procedure against your source and destination servers.
Oh, and don’t forget different versions of SQL Server use different hashing algorithms, so you’ll need to use one of the many different versions of sp_help_revlogin if you have a mixed environment.
Let’s hope you only have one or two SQL Servers to migrate and not hundreds.
Chrissy has a couple of great Powershell cmdlets to help get rid of this procedure, as well as a nice explanation of each and Youtube videos should you be so inclined. Definitely check it out, as well as her dbatools Powershell suite.
If you are running a PCI compliant system on SQL Server 2005 you are going to fail your next audit. One of the audit requirements is that the vendors must support the version of your software which you are running on. As Microsoft no longer offers support for SQL Server 2005 that’s going to cause you to fail your next PCI audit.
Microsoft’s serious about sunsetting old versions of SQL Server, and at this point, there have been five versions of SQL Server released since 2005.
In every data source connection string, you can add a simple expression that maps the current Windows username to the CUSTOMDATA property of the data source provider. This works in SSRS embedded data sources, shared data sources, in a SharePoint Office Data Connecter (ODC) file and in a SharePoint BISM connection file. In each case, the syntax should be the similar. Here is my shared data source on the SSRS 2016 report server
This is pretty snazzy. Paul goes into good detail on the topic, so read the whole thing.
When using these SQL encryption technologies, your data is encrypted with a symmetric key (called the database encryption key) stored in the database. Traditionally (without Azure Key Vault), a certificate that SQL Server manages would protect this data encryption key (DEK). With Azure Key Vault integration for SQL Server through the SQL Server Connector, you can protect the DEK with an asymmetric key that is stored in Azure Key Vault. This way, you can assume control over the key management, and have it be in a separate key management service outside of SQL Server.
The SQL Server Connector is especially useful for those using SQL Server-in-a-VM (IaaS) who want to leverage Azure Key Vault for managing their encryption keys. SQL IaaS is the simplest way to deploy and run SQL Server, and it is optimized for extending existing on-premises SQL Server applications to the cloud in a hybrid IaaS scenario, or supporting a migration scenario.
Read on for more details.
I blinked when I saw the warning, “Your password can’t be longer than 16 characters.” I couldn’t believe that I had gotten that warning, so I erased what I had typed for a password and started typing 1, 2, 3, etc., to see if this warning did trip at 17 characters. It did. Why in the world is there a limitation on password length if you’re going to do a hash my password? And if you had to pick a limit, why 16 characters? Why not 50 or 100 or 255?
I’ll go one step further: there is never a good limit to how long a password should be. For services like these, Microsoft should have the plaintext version of the password (which again, should be a string of an arbitrary length) only enough to perform an adequate number of rounds of hashing and salting using an appropriate hashing function (e.g., bcrypt). At that point, once the password gets hashed, the hash is always the same length, meaning the length of the plaintext is irrelevant for storage.
Dynamic data masking is a great product and solves some niche problems that come if you need to do certain testing with live data at the application level. You should, however, beware of using it as a database-level security device.
I haven’t yet used it in testing because I don’t have the problem that it solves.
The problem that it solves is for people doing testing, especially user-acceptance testing, of an application using live data. It is good at masking data where the user is unable to make direct access to the database to execute queries.
Phil has code to get around credit card numbers, and I will say that he’s not the first person I’ve seen do this. Dynamic Data Masking is not a general-purpose security solution.
HIBPwned is a feature complete R package that allows you to use every (currently) available endpoint of the API. It’s vectorised so no need to loop through email addresses, and it requires no fiddling with authentication or keys.
You can use HIBPwned to do things like:
Set up your own notification system for account breaches of myriad email addresses & user names that you have
Check for compromised company email accounts from within your company Active Directory
Analyse past data breaches and produce charts like Dave McCandless’ Breach chart
The regular service is extremely useful and Steph’s wrapper looks like it’s worth checking out.
Dimensionality reduction is a common techique to visualize observations in a dataset, by combining all features into two, that can then be used to draw the observation in an scatter plot.
One popular algorithm that implements this technique is PCA (Principal Components Analysis), which is available in R through the prcomp() function.
The algorithm was applied to observations of sthe dataset, and ggplot2’s geom_point() function was used to draw the results in a 2D chart.
I would want to see this done for a couple hundred thousand domains, but I do like the idea of taking advantage of statistical modeling tools to find security threats.
I’m at a conference, specifically a security conference. So I looked at the available WiFi connections. Among the conference and hotel specific connections and the MiFi and cellphone uplinks I spotted this one
My little Wifi hotspot has an SSID of Flowers By Irene.