A recent announcement by Privacera, the only open-standards based data security governance leader gave a round-up of predictions and trends that will be the mainstay for companies wanting to compete in a data-driven economy for 2023.
As more data accumulates within an organization, the adoption and combined power of data analytics, privacy, and security solutions will explode over the next few years.
Privacera's data security and governance predictions and trends for 2023:
CAOs (Chief Data Analytics Officers) will be part of C-Suite
As enterprises will become more data-driven to achieve desired business outcomes, the CAO’s role will become even more indispensable.
Multi-cloud adoption to exponentially grow
To modernize their data architecture, enterprises will look towards adopting a multi-cloud strategy with a strategic approach and a scalable data security platform.
Create Frictionless Data Security (DSG) environments
A universal DSG environment with security and governance controls across the entire data estate for organizations of all sizes.
Zero Trust and Data Mesh
With Zero Trust and Data Mesh location of the data remains the same and ensures all safety, compliance and privacy measures are observed.
New Federal Regulations to Protect Consumer Data
Consumer awareness that organizations are collecting, storing and using their data is creating an urgent need for Congress to write and pass data and privacy regulations.
"Data security platforms will continue to gain popularity as they help simplify the complexity of managing data access controls, support data governance strategies, and drive higher-value analytics that unlock the full data-driven potential of enterprises." Privacera CEO Balaji Ganesan.
About Privacera
Founded in 2016,
Privacera's SaaS-based data security and access governance platform, gives you a unified view and control over sensitive data across multiple cloud services, including AWS, Azure, Databricks, GCP, Snowflake, and Starburst. Privacera platform is used by Fortune 500 customers in the finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies, to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.