Risk comes in so many forms, from leaking proprietary data to customer breaches to failing to document how you’re using data and AI. And regulations grow more complex every day. Countries all over the world are passing AI laws, and at least 45 US states introduced AI bills in 2024.8 It’s a lot to keep up with.
Many organizations respond by locking data down — and that’s the enemy of Data Confidence.
Building risk mitigation into your governance DNA solves the problems better than locking down data (and it’s more effective than therapy for chronic stress).
So how do you create a structure for confident governance?
Unify governance via a common platform to create consistency in how your policies are applied — it should be seamless across every data source and compute platform
Gain end-to-end visibility by using active metadata to track data as it’s used and transformed
Automate appropriate access by using a platform that allows fine-grained access controls
Use a platform that allows nontechnical stakeholders to collaborate in reviewing cases and applying policies
The end goal should be to liberate as much as your data and empower as many users as possible: think safe autonomy.
