Massive AI-driven transformation is underway in all aspects of IT, resulting in an unprecedented acceleration in the pace of change. Security leaders must respond by engaging in this transformation, rethinking and rearchitecting previous security strategies to keep up.

 

At the same time, the advent of AI has also fueled an accelerated pace of innovation and change in the threat landscape, requiring rapid change in cybersecurity infrastructure to defend against this new AI-powered threat landscape.

 

Concurrently, the application of AI-driven cybersecurity innovations creates an opportunity for security leaders to rethink traditional technology stacks, security staffing models, and cybersecurity infrastructure architecture.

 

Underlying this opportunity is the need for a new level of security data architecture—one capable of feeding the AI security engine. The security data pipeline and platform are foundational enablers to this transformation.

 

This paper will explore the requirements that underlie this need and provide a perspective on what it will take to satisfy these requirements.