In today’s hyper-connected, multi-cloud world, data security is no longer a single-platform challenge; it’s a cross-platform imperative. This session introduces a practical, vendor-neutral Data Security Maturity Model that guides organizations from reactive, ad-hoc controls to adaptive, resilient security practices. 

Attendees will explore the four maturity levels through real-world, platform-agnostic examples. 

We will cover various modern trends and participants will learn how to assess, identify and improve their environments.

Target Audience: Data Professionals, Security Architects, IT Leadership
Prerequisites:Basic principles of data security, least privilege access models and risk management.
Level: Advanced

Extended Abstract:
In today’s hyper-connected, multi-cloud world, data security is no longer a single-platform challenge; it’s a cross-platform imperative. This session introduces a practical, vendor-neutral Data Security Maturity Model that guides organizations from reactive, ad-hoc controls to adaptive, resilient security practices. 

Attendees will explore the four maturity levels: Reactive, Preventive, Proactive, and Adaptive, through real-world, platform-agnostic examples. 

The session covers modern trends such as data classification, tokenization, privacy-enhancing technologies, AI-driven threat detection, and Zero Trust principles. Participants will learn how to assess their current maturity, identify gaps, and build a tailored roadmap for improvement. 

Interactive analogies, case studies, and engagement exercises will ensure that every data professional, security architect, and IT leader leaves equipped to advance their organization’s data security posture - no matter the technology stack.