When a privacy incident is reported, teams often need to make an immediate judgment with incomplete information: which incident should we look at first? The full investigation may not be complete. The formal risk assessment may not have begun. Important facts may still be unknown. But the team still needs to decide where to focus … Continued
Organizations are moving quickly to adopt AI, but investment in AI does not automatically create readiness for AI-related incidents. As enterprises build AI applications, deploy copilots, integrate third-party models, and experiment with more autonomous systems, many are also building AI governance programs to determine which systems can be used, how they should be governed, and … Continued
Policy exceptions are part of running a modern organization. A business unit may need temporary approval to use a nonstandard process. A vendor may not meet a required control. A team may need more time to remediate an issue. In each case, the organization needs a way to review the request, document the decision, and … Continued
OpenAI’s Epic EHR integration may help healthcare teams access patient context faster. It also makes disciplined data governance, HIPAA controls, and defensible incident response more important before organizations scale AI-enabled workflows. OpenAI’s new Epic EHR integration gives healthcare organizations a faster way to bring authorized patient context into ChatGPT for Healthcare. Clinicians may be able … Continued
Vendor incidents can move quickly from a third-party notification to a cross-functional response. A service provider may report a security event. A business partner may disclose data exposure. A vendor may miss a contractual deadline, cause operational disruption, or trigger privacy, legal, security, or compliance reviews. The challenge is not only identifying what happened. The … Continued
A privacy incident response checklist helps teams move from uncertainty to a defensible decision. When a suspected incident is reported, the organization needs a consistent way to capture the facts, assess risk, apply the right regulatory requirements, determine whether notification is required, and document the rationale behind every action. That structure matters because privacy incidents … Continued
Why RadarFirst Isn’t Turning Regulatory Decisions Over to Generative AI Every organization is under pressure to find practical uses for AI. Privacy, legal, compliance, and risk teams feel that pressure acutely because they are being asked to move faster, reduce manual work, and manage more complex obligations with limited resources. AI can help. But in … Continued
The OpenAI-Hugging Face security incident offers a practical lesson for every organization deploying AI: safeguards matter, but they are not a complete governance strategy. According to OpenAI and Hugging Face, models operating in a cybersecurity evaluation identified and chained vulnerabilities that ultimately reached Hugging Face production infrastructure. Hugging Face reported unauthorized access to a limited … Continued
If you have spoken with RadarFirst, you have probably heard us mention the patented RadarFirst Legal Engine. You may have also heard us describe it as deterministic. Here is the simplest explanation: the RadarFirst Legal Engine is the decision engine that helps determine what a privacy incident legally requires. It evaluates the specific facts of … Continued
California’s CCPA risk assessment rules change how privacy teams need to manage PIAs. As of January 1, 2026, covered businesses must conduct and document risk assessments before engaging in certain processing activities that pose a significant risk to consumers’ privacy. Existing covered processing must also be assessed by December 31, 2027; material changes can require … Continued
