Digital asset compliance is entering a new phase. Regulatory expectations are becoming clearer, more continuous, and more institutional, while most compliance programs remain manual, fragmented, and reactive.

This session explores why compliance is simple to describe but extremely difficult to implement correctly at scale. It introduces an AI-first and AI-honest approach to designing compliance systems that can support governance, monitoring, auditability, and regulatory confidence without slowing product development.

The GENIUS Act is referenced as one example of the broader shift underway, signaling that digital asset platforms are now expected to operate like regulated financial infrastructure rather than experimental technology. As these expectations harden, retrofitting compliance becomes expensive and risky.

The talk introduces the thinking behind Regulation Layer, an emerging AI-powered compliance platform focused on translating regulatory requirements into continuous controls, automated evidence, and real-time visibility.

This session is intended for teams building institutional-grade digital asset systems in 2026 and beyond.

Small print:
- Target audience: Founders, compliance and risk leaders, operations teams, CTOs, product and engineering leaders, financial institutions
- Session style: Interactive, minimal slides
- Session length: 30 to 45 minutes
- First public delivery: Yes
- Key themes: Digital asset regulation, AI-first compliance, scalable controls, RegTech