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Executive teams often treat the time spent evaluating privacy incident response software as a neutral period. But for organizations managing incidents across multiple jurisdictions, delay has a cost. That cost is the Waiting Tax: the hidden expense of continuing to manage privacy incidents through manual research, legal validation, inconsistent workflows, and rework as laws and … Continued
Last week at IAPP AI Governance Global Europe 2026, one message came through clearly: AI governance is entering its operational phase. For the past several years, many organizations have focused on understanding AI risk, tracking regulatory developments, building governance committees, and creating policy frameworks. Those foundations still matter. But they are no longer enough on … Continued
Artificial intelligence is moving rapidly from experimentation into real government workflows. Federal agencies, defense organizations, and regulated enterprises are no longer asking whether they should adopt AI. They are asking how to do it securely, responsibly, and at scale, operationally. That shift creates a much bigger challenge than simply selecting the right model. The real … Continued
As federal AI legislation remains unsettled, states are moving ahead. Recent activity in Illinois, Connecticut, and New York shows how quickly AI oversight is becoming a state-by-state operational challenge. The details differ by jurisdiction. Some proposals focus on frontier AI developers, transparency frameworks, safety reporting, and third-party audits. Others connect AI oversight to consumer protection, … Continued
Colorado’s repeal and replacement of its original AI law may look like regulatory relief. For organizations using AI in consequential decisions, it should be read differently: as a reminder that AI risk continues even when legal requirements change. In May 2026, Colorado replaced its broader 2024 AI framework with a narrower law focused on covered … Continued
South Korea’s AI Basic Act took effect on January 22, 2026, and it sends a clear message to organizations using artificial intelligence: AI governance is no longer just about principles, policies, or static documentation. It is increasingly about operational accountability. For privacy, compliance, and risk leaders, the question is not simply whether the organization has … Continued
Financial institutions are moving quickly to apply AI across customer service, fraud detection, underwriting, portfolio support, and internal operations. The upside is clear: faster decisions, greater efficiency, and more tailored customer experiences. But in financial services, speed without control creates exposure. As AI systems gain access to sensitive financial data and decision workflows, privacy, cybersecurity, … Continued
By Zach Burnett, CEO at RadarFirst & Edna Conway, Board Chair, Global Chief Security & Risk Officer, and Strategic Advisor for RadarFirst Artificial intelligence is no longer a future risk; it is an active force reshaping the data incident landscape in real time. As organizations accelerate AI adoption, they are also inheriting a new class … Continued
Canada’s joint investigation into OpenAI’s ChatGPT is one of the clearest signals yet that AI privacy compliance has become an operational issue, not just a policy issue. Canadian federal and provincial regulators concluded that aspects of ChatGPT’s early training and deployment practices did not comply with privacy law, citing concerns that included overcollection, lack of … Continued
There’s a moment every emerging technology hits where the conversation changes. For AI, we’ve officially crossed it. For the last few years, AI governance lived comfortably in the realm of principles. Ethical frameworks. Responsible AI pledges. High-level policies drafted in boardrooms and compliance documents. But today, as AI becomes embedded in core business operations, that … Continued
