Tag: AI governance

The bipartisan FRONTIER Act, introduced by Representatives Jay Obernolte and Lori Trahan, signals a practical shift in U.S. AI governance. Lawmakers are moving from broad principles for responsible AI to more concrete expectations for transparency, independent evaluation, risk management, and serious-incident reporting. For organizations adopting AI, the signal is clear: AI governance cannot be measured … Continued

The rapid adoption of artificial intelligence is creating a visibility gap inside the enterprise. Organizations may believe they know which AI systems process their data, only to discover that employees are using unapproved tools or that approved vendors have quietly introduced additional AI providers into their processing chains. As the IAPP reports, recent research found … Continued

OpenAI’s Health in ChatGPT experience gives eligible U.S. users the option to connect medical records and Apple Health data, including medications, lab results, clinical visits, sleep, and activity, to support more personalized health conversations. OpenAI says connected health information and conversations that use it are not used to train its foundation models or target ads, … Continued

AI Privacy Risks Need More Than Policies. They Need Privacy Incident Management. Artificial intelligence is now part of everyday business operations. Employees use AI to summarize documents, analyze data, draft communications, and automate routine work. Vendors are also embedding AI into enterprise applications, often changing how personal information is processed, retained, or shared. That shift … Continued

We’re proud that RadarFirst has been recognized as a Representative Vendor in Data Breach Response in the Gartner Hype Cycle for Privacy, 2026. For us, this recognition reflects our continued commitment to helping organizations operationalize privacy incident management through consistent decision-making, regulatory intelligence, and defensible governance. As organizations adopt AI and navigate an increasingly complex … Continued

The conversation around AI regulation has reached another inflection point. Recent congressional testimony from the U.S. Chamber of Commerce raised a familiar concern: a growing patchwork of state AI and privacy laws could make it harder for businesses to adopt artificial intelligence, especially as compliance costs and legal uncertainty increase. That concern is real. Organizations … Continued

Enterprise AI governance is entering a new phase. For the past year, many organizations focused on AI experimentation: where to deploy it, which use cases could create value, and how quickly teams could put new tools to work. Now that AI usage is spreading across daily operations, leaders are adding financial discipline. A recent Wall … Continued

Choosing a privacy incident response platform is not just a software decision. It is a decision about how your organization will assess incidents, determine breach-notification obligations, document the legal rationale, and demonstrate diligence when decisions are reviewed. The right platform should help privacy teams move quickly without sacrificing consistency or control. It should support accurate, … Continued