AI is keeping you up, but it doesn’t have to.
Learn the top three challenges that InfoSec, data engineering, and application development leaders need to understand as they navigate data privacy and compliance in AI and analytics environments — and the best practices they need to implement now to protect their organization.
In this eBook by Steve Karam, Perforce Delphix’s resident AI and data security expert, discover:
- What business leaders worry about most when it comes to data privacy for AI & analytics — from data quality to PII reidentification.
- Three key challenges organizations must address now to protect sensitive data — including the unique risks that AI introduces, like internalizing sensitive data, and the misguided or overly-simplistic compliance efforts that put your organization at greater risk.
- Best practices for addressing the risks of AI — like applying a unified compliance framework across data sources and eliminating security exceptions.
- What to look for in a data solution for AI & analytics — like cloud-native scalability, irreversible data masking, and more.
Learn what you can do now to protect your business.
Complete the form to access 10+ pages of expert insights and best practices that InfoSec, data engineering, and application development leaders need to know now to protect their organization.