Truyo

When an AI tool causes harm, regulators don't go after the vendor. They go after the organization that deployed it. The Mobley v. Workday case made this clear: if you put AI outputs in front of real people with real consequences, the accountability is yours.

Understanding the developer-deployer distinction is no longer optional.

Learn what that means for your business: https://na2.hubs.ly/H06bqBq0

Illinois, Connecticut, and New York each introduced significant AI and privacy legislation in the past week alone. From mandatory third-party audits to whistleblower protections and stricter rules around children's data, the bar for compliance is rising fast. A wait-and-see approach is no longer an option.

See what these new laws mean for your business: https://na2.hubs.ly/H061mKG0

AI risks are no longer just theoretical. As more teams adopt AI tools across the business, organizations need visibility into how AI is being used and where potential risks exist.

Strong AI risk management helps reduce bias, improve accountability, and support compliance with evolving regulations. The key is building governance processes that can scale as AI adoption grows.

Learn more: https://na2.hubs.ly/H05Khgp0