In my last blog post I discussed the increase in market attention around the category of “Data Governance”. It was fascinating to see the “Forrester Wave™: Data Governance Solutions, Q3 2021” report come out just a few weeks after that. It’s another proof point that the market segment is attracting more attention than ever before, and we’re thrilled to see ALTR partners Collibra and OneTrust get recognized for their outstanding leadership in the space.
But the report is also evidence that we may not all be talking about the same thing when we say, “Data Governance.” Based on the companies included, the report could have easily been called “Data Intelligence Solutions” instead. All of the companies named in the Forrester Wave really focus on knowing about your data: data discovery, data classification and data cataloging, and many actually refer to themselves as “data intelligence” companies. Data intelligence is a critical first step to using data as well as the first step to data governance. It could even be considered the first generation of data governance technology. But think about the word “govern” – it means rule, control, regulate. It’s about taking action. So, just knowing about the data is simply not enough.
The report points this out when it talks about how companies are maturing their privacy, security, and compliance features in response to growing regulations. Companies in the report are taking different approaches to addressing the need for increased security features. One of the ways they’re tackling this is by partnering with companies, like ALTR, who can help them take the next strides into controlling and protecting data.
Next Generation Data Governance
We could look at this evolution as the next generation of data governance technology or Data Governance Gen 2. This means moving beyond just knowing about the data into controlling and protecting it. It includes functions like data masking, data consumption controls and data tokenization. Data masking blocks out key information in sensitive data to ensure that only the people who need to see data can and only when they should. Data consumption controls limit the amount of data any individual user can access, at a specific time, based on location to only the amount needed to do their role or a specific task. This ensures that a bad actor with seemingly authorized access can’t bleed you dry of data. And tokenization replaces sensitive data completely with non-valuable placeholder tokens.
All of these policy-based data controls are based on the work done in the data intelligence step – data can’t be governed and protected effectively until you know what data you have and where.
Closing the Gap Between Data Intelligence and Protection
There’s actually a big gap between knowing about your data and taking action to ensure it’s secure. In the past, data might have been de facto protected by safeguards placed on the perimeter by security teams. But since data has moved to the cloud, security teams no longer own or manage the infrastructure where the data resides. Cloud data platforms do. Those platforms employ enterprise class security features and firewalls that protect against traditional attacks, but they can’t know who should have access to what data. Companies are still responsible for managing user access and controlling and protecting their data.
With the data governance and security teams potentially coming at the issue with different architectural approaches and different end goals in mind, this can leave a gap that no one is minding. That makes having a combined data control and protection solution essential.
Don’t Lose Sight of the Goal: Keeping Sensitive Data Safe
Despite the varying definitions and ideas around what data governance is or should be, let’s not lose sight of the goal: keeping sensitive data safe and usable. That’s why global data privacy regulations have been passed. It’s why data governance teams and functions have been created to comply with those regulations. It’s why we created ALTR to help companies combine their data governance and security into one platform that makes it easy to ensure sensitive data is both controlled and protected. In the end, it’s all about safeguarding the data.
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