Putting AI to Work in Compliance
Exploring how firms are approaching AI governance, adoption, efficiency, and operational impact as the technology moves into everyday compliance.

StarCompliance Enterprise is powered by a robust rules engine and configured to your organization’s unique needs and policies. This leverages vast amounts of data like employee information, user group and line of business relationships, and marketplace data, to automate employee pre-clearance, surveillance, and other conflict checking workflows to streamline processes and increase efficiency. Easily configurable, compliance teams can manage and update the rules engine directly from their admin portal.
Extend employee trading oversight to prediction markets through STAR’s integrated monitoring capabilities. With comprehensive on- and off-chain coverage—including support from our off-chain partner, Kalshi—firms can automate surveillance, surface suspicious activity, and strengthen oversight of employee conduct risk. Prediction Markets Monitoring is available as part of Star’s Crypto Dealing solution.
Ensure employee trading and investments meet all regulatory and internal policy requirements.
Gain comprehensive pre-clearance and post-trade oversight across 35+ exchanges, 30+ blockchains, 200+ tokens.
Simplify declarations for employees holding non-publicly traded investments.
Track and report gifts and hospitality—given or received—to stay compliant with anti-bribery regulations.
Easily capture and manage employee disclosures for external business engagements.
Enforce pay-to-play thresholds and minimize employee-related risk with purpose-built tracking and controls.
Monitor employee trading against market activity and public news to detect potential insider risks.

Exploring how firms are approaching AI governance, adoption, efficiency, and operational impact as the technology moves into everyday compliance.

How compliance teams can modernize employee trading oversight for digital assets, tokenization, prediction markets, and emerging conduct risks.

Why decades-old legal principles remain the foundation for insider trading enforcement in the age of digital assets, tokenization, and prediction markets.
