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

Colorado replaced its original AI law with SB 189, a transparency-first framework targeting automated decision-making in high-stakes areas like hiring, lending, and healthcare. The compliance deadline is January 1, 2027, and both developers and deployers have distinct obligations to meet.

Learn what your business needs to know: https://na2.hubs.ly/H05VMWG0

Privacy enforcement is no longer just about fines. Regulators are now targeting secondary data use, biometric processing, AI training consent, children's data, broken opt-outs, and cross-agency coordination, all at once. If your data practices were built around yesterday's standards, the exposure is real.

See the six enforcement trends every business should know: https://na2.hubs.ly/H05VFyD0

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

Third party vendors often have access to sensitive customer data, which can quickly become a privacy risk without the right oversight.

As vendor ecosystems grow, manual tracking becomes harder to manage and easier to miss important compliance gaps.

Strong vendor privacy management helps organizations stay compliant, reduce risk, and maintain visibility across data sharing practices.

Learn more: https://na2.hubs.ly/H05Khj90

GM’s recent privacy settlement is another reminder that connected vehicle data practices are facing growing scrutiny. Companies collecting driver data need clear consent processes, stronger transparency, and better governance around how personal information is shared.

As regulators continue increasing oversight, privacy compliance can’t be treated as an afterthought.

Learn more about the GM privacy settlement: https://na2.hubs.ly/H05B93R0

The EU is delaying key parts of the AI Act, including pushing high risk AI compliance deadlines from 2026 to 2027 and narrowing which AI systems fall under high risk obligations.

The amendments also expand rules around sensitive data use for bias detection and give the EU AI Office broader oversight powers over general purpose AI systems.

Learn more about how these changes could impact global AI regulation: https://na2.hubs.ly/H05B8Bz0

Colorado’s AI law has now been revamped with a more balanced bill. The Colorado General Assembly passed adjusted SB 189 this Tuesday with a balanced approach for innovation, transparency, and accountability.

The updated bill shifts away from heavy oversight requirements and puts more focus on disclosure and consumer awareness around AI use.

Learn more about the changes: https://na2.hubs.ly/H05t9Cq0

Truyo Compliance Advisor now has enhanced features to help you keep up with the dynamic behavior of your cookies, pixels, local storage, and other such trackers. Detect trackers and get prompt alerts when they are updated.

To know more, please check our website: https://na2.hubs.ly/H05rlLH0