As SaaS companies grow and expand through cloud, AI, and distributed data platforms, static encryption approaches may not be able to address changing security risks and complexities. This session will explore how artificial intelligence can be leveraged to improve encryption and key management approaches to develop dynamic and risk-based data security approaches for modern and growing SaaS organizations.

In this session, attendees will learn how AI-driven encryption approaches can be leveraged to develop dynamic and risk-based data security approaches for modern and growing SaaS organizations. This session will also walk through practical architectures of how AI can be leveraged with encryption and security approaches to develop dynamic and risk-based data security approaches for modern and growing SaaS organizations.

The target audience of this session is founders and technical leaders who are looking to address real-world security challenges such as how to secure sensitive customer data at scale, how to address compliance requirements such as HIPAA, SOC 2, and PCI, how to reduce security complexities and overhead costs, and how to strike a balance between security and performance.