Security teams typically have excellent visibility into most areas, including corporate networks, endpoints, servers, and cloud infrastructure. Use this visibility to enforce necessary security and compliance requirements. However, this does not apply to sensitive data in production databases, analytical databases, data warehouses, and data lakes.
Security teams must rely on data teams to find sensitive data and enforce access controls and security policies. This is a huge headache for both security and data teams. It weakens business security and compliance, exposing sensitive data to exposure, hefty fines, reputational damage, and more. It also often reduces the business’ ability to scale up its data operations.
This article describes how Satori, a data security platform, gives security teams control over sensitive data in databases, data warehouses, and data lakes.
Satori’s Automated data security platform It provides a simple and easy way to meet security and compliance requirements while reducing risk.
Why is datastore hard to protect?
Security teams are unable to properly visualize and enforce policies on access to DBs, data warehouses, or data lakes. Let’s look at an example.
Nick is the Security Engineering Manager for the ACME organization. He is responsible for keeping pace with changes in security and compliance regulations such as HIPAA, SOC2, and ISO. This is a difficult task as security and compliance regulations are constantly changing and evolving. Nick is great at his job, navigating the complexities of various regulations and determining the security measures necessary to keep ACME in compliance. This is important to prevent ACME from failing audits, exposing sensitive data, receiving fines, or worse.
Then one day, out of the blue, Nick is tasked with meeting security and compliance requirements for all of ACME’s analytical and production data.
Nick is in trouble. He has done his job and determined the steps necessary to ensure security and compliance, but it is very difficult to actually take these steps to implement his security policy. There are several reasons why Nick’s job is difficult and frustrating, detailed below.
Sensitive data and log visibility
Nick’s lack of visibility limits his ability to implement and manage security policies and compliance requirements. Three main causes hinder his visibility.
1 — Various logs from different sources are “buried”.
Because ACME has sensitive data spread across multiple databases, data lakes, and data warehouses, it has different audit logs from these different sources. Additionally, Nick needs to correlate log data with known locations of sensitive data (if there is sensitive data).
2 — Configuration and process changes to enable visibility.
It is important to ensure that access to all sensitive data is accurately monitored. Nick may wish to find out why a User was accessing Sensitive Information in a region outside his service area so that such access does not occur in the future. He needs to change the configuration and make sure the change management process is effective. However, this is not as simple as it seems. Lack of visibility means Nick can’t see these changes in real time.
3 — Know the types and locations of sensitive data.
Nick doesn’t have the ability to continuously search for sensitive data. His lack of visibility, combined with the fact that he is not the owner of these data stores, means he cannot search multiple data stores for sensitive data. Instead, he has to rely on his engineering team.
The vast majority of companies use manual processes to scan and discover sensitive data. If Nick can drop the project and have his engineers carry out this task, manual scanning of the data will be slow and error prone. This means Nick is often worried about having data engineers continuously scan the data to find sensitive information and his identity information.
Security policy enforcement
ACME has sensitive data spread across many diverse databases, data lakes, and data warehouses. Nick is a very good security guy. He’s an engineer, but I doubt he has the knowledge to understand the inner workings of SQL and the databases, data warehouses, and lakes that make up the ACME data stack. He doesn’t have the ability to actually code the necessary changes to the security policy, so he has to rely on a data engineer to perform the task.
Data engineers usually prefer working on their own projects to implementing Nick’s security policies, but even if they knew how, allowing Nick to implement them himself would be a first choice. is not. The engineer who owns the datastore probably doesn’t want Nick to intervene in things like creating objects or changing the datastore’s configuration. So, even if Nick wants to enforce and implement the necessary security policies, and could do so, it’s unlikely that Nick would have access and would instead have to rely on data engineers to do this.
Using a data security platform
Usage overview Satori’s Automated Data Security Platformto overcome such challenges would be:
full visibility
With Satori’s Access Manager, Nick has full visibility into all implemented security policies as well as audit logs from analytics and production data.
Nick can now see who accessed what sensitive data and when in a single frame. Access to sensitive data is no longer “buried” as he can view all data access and audit logs across all platforms. Nick can also see what security policies are enforced and easily update security policies and access requirements.
Implement security and compliance policies
Satori is easy to implement, allowing Nick to have ACME’s database, data warehouse, and lake up and running in days or hours instead of months.
This is because Satori does not change anything in ACME’s data store. Therefore, no additional coding or data changes are required. Only security policies and requirements should be enforced.
See how Satori makes it easy to set up and implement your security policies and compliance requirements. test drive.
Fully automated
Satori automates the process of finding and classifying sensitive data, enforcing applicable security policies, and granting and revoking access controls. The ability to automatically discover sensitive data is invaluable to Nick. Because Nick is not the actual owner of the database, the data warehouse, or the lake where the data is stored.
Nick now has control over the implementation of security policies when regulations are updated. He can implement updated requirements quickly and easily, reducing the chances of failing an audit or worse.
Nick is happy with the ease of implementing the required requirements. Data users are happy because Satori provides a higher level of security, but it doesn’t change or slow down the user experience. As a bonus, the data engineers are happy because they don’t have to worry about Nick’s insistence on constantly updating and implementing security policies.
Is your data security platform right for you?
Not everyone needs a data security platform. Sometimes it’s simpler and easier to continue business as usual. However, if your business has any of the following conditions, you need a data security platform to protect your data:
- sensitive data
- Multiple data users
- Multiple databases, data warehouses, or data lakes
Satori Data Security Platform
Satori’s automated data security platform helped Nick take ownership of the data he was responsible for. This allowed him to focus on the security and compliance part of his job. Nick can automate everything from finding sensitive data to enforcing and enforcing security policies. He always has full visibility into data access and can quickly and easily review audit and security logs.
To try Satori for yourself, test drive again Book a demo Meeting Satori.
