Discussion Overview:

Explore how AI and centralized automation can help organizations streamline evidence collection, reduce repetitive work, and build a more efficient compliance program that supports multiple frameworks from a single source of truth.

Abstract:

Security and compliance teams are under pressure to support more frameworks than ever—SOC 2, ISO 27001, PCI DSS, SOX, NYDFS, FFIEC, DORA, regional privacy laws, customer-specific requirements, internal policies, and more. Each framework introduces its own control language and evidence expectations. The result is duplicated work, scattered spreadsheets, and one-off mappings that quickly fall out of date.

During this discussion, we’ll explore how AI with human oversight / defensible controls and centralized automation can turn multi-framework compliance into a single, unified program.

We’ll cover how to build a shared control and evidence backbone, use automation to keep that backbone current, and leverage AI to reduce repetitive work across frameworks. We’ll also look at how trust management platforms can centralize controls, automate evidence collection, and map requirements so teams can support multiple frameworks from one source of truth instead of starting from scratch every time.