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
Healthcare organizations need the ability to investigate and respond to privacy incidents quickly, consistently, and with a defensible decision-making process. HIPAA compliance remains foundational, but compliance requirements alone do not provide privacy teams with an operational process for managing ransomware incidents, unauthorized disclosures, vendor incidents, misdirected emails, or other PHI-related events. Each incident requires that … 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
Historically, conversations around AI governance have centered on risk assessments, inventories, principles, and policies. Those foundations matter. But AI governance becomes real when something goes wrong. When an AI system fails, changes unexpectedly, becomes unavailable, or creates new risk, organizations need more than a written framework. They need a consistent way to assess impact, involve … Continued
Artificial intelligence has become the business world’s favorite answer to nearly every operational question. Can it automate this task? Can it reduce manual work? Can it move faster than a human team? Often, the answer is yes. But that does not make AI the right answer every time. A recent Wall Street Journal article made … Continued
If you lead privacy, compliance, AI governance, or regulatory risk, the work is not getting harder simply because there are more rules to track. It is getting harder because your team is being asked to make more high-stakes decisions, faster, across more domains, with less room for inconsistency. A privacy incident needs to be assessed. … Continued
