Truyo

AI governance needs a level of data discipline that privacy teams have already matured in. Addressing concerns like what data is being collected, why was it required, and what consents were procured for it, are essential in developing and implementing AI governance strategies. Therefore, while they cannot effectively flag issues like biased outcomes, hallucinated information,...

California’s 2026 legislative session closed with eight privacy bills and sixteen AI bills heading to Governor Newsom’s desk. The meaningful focus seems to be around regulating data and automated decision-making. While none of this is law yet, the direction is clear enough. The state is focusing on real consequences of technology that can affect critical decisions and sensiti...

A series of recent website-tracking judgments gives a clearer picture to businesses for an effective defense in privacy lawsuits. We are learning that tracking allegations do no...

Generative AI is now finding its way deeper into day-to-day business operations like employment, compliance and internal decision-making. This expands its reach to a variety of sensitive data and its influence on consequential decisions. However, implementing practical guardrails around GenAI use has already become too complex with the low visibility and ease of access. Organ...

On August 11, 2026, the Colorado Attorney General’s Office moved into the formal rulemaking phase for two important laws regarding AI governance and privacy compliance. The Automated Decision-Making Technology (ADMT) Act (SB 26-189) and the Chatbot Safety Act (HB 26-1263) were both signed into law earlier this year and will be going into effect on January 1, 2027. But before ...