The data-centric approach involves protecting individual data pieces irrespective of their location, ensuring data remains unreadable and unusable to unauthorized individuals. Companies should also go beyond compliance regulations to reduce non-compliance risk, keeping an eye on emerging threats and preparing for new privacy laws. Lastly, companies must balance the need for data utility with data security, using modern tools that allow data analysis without exposing clear text values. The author concludes that companies must embrace data-centric security technologies to ensure compliance, foster trust, and responsibly use AI.
Key takeaways:
- Companies must incorporate a data-centric approach to security, protecting each piece of individual data irrespective of where it resides.
- Security plans should exceed compliance mandates, preparing for emerging threats and new privacy laws.
- There needs to be a balance between data security and data utility, ensuring data is used responsibly without compromising its value.
- 2024 should be the year companies use AI responsibly, embracing data-centric security technologies that balance data utility with responsible data use to ensure compliance and foster trust.