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Trust is by far your organization’s greatest asset and should be protected at all costs. It’s a true business differentiator for customers, employees, partners, and the public at large. With so much at stake, who should help prioritize trust within your organization? Well, there’s a new emerging role in the C-suite responsible for just that.
In our latest white paper, we explore the increasing data complexity within the utilities sector. Download the white paper to discover the steps you can take to build community trust through successful data privacy and incident management.
RadarFirst’s purpose-built workflow automates and simplifies the aggregation of incident management metadata for accurate and timely analysis and reporting. With just a click of a button, your team can build custom reports for board and executive level analysis.
What the latest privacy incident data reveals about volume, risk, speed, third parties, and AI. Privacy teams are moving faster than they were just a few years ago. But the job isn’t necessarily getting easier. Incident volume is rising. Malicious activity is growing. Third-party incidents are more likely to become notifiable breaches. And even as … Continued
A structured intake begins by identifying the AI system and the organization’s relationship to it. The first report rarely contains enough information to explain what happened. It may mention an inaccurate chatbot response, an unexpected automated decision, exposed information, or unanticipated behavior. But it may not identify the system configuration, business process, owner, or third … Continued
AI agents can do more than generate content. With access to data, applications, code, infrastructure, and external communications, they can take actions that create security, privacy, safety, legal, and operational risks. That changes the incident response question. Organizations must be prepared not only for attacks that use AI, but also for events in which an … Continued
AI adoption is accelerating across the enterprise, but many organizations still lack a reliable way to see, assess, and govern how AI is being used. New tools, embedded AI features, and employee-led use cases can create business value, but they can also introduce privacy, security, compliance, and operational risks if not properly documented or reviewed. … Continued
A practical guide to privacy incidents, data breaches, and notification thresholds A privacy violation occurs when personal information is collected, used, accessed, disclosed, retained, altered, or destroyed in a way that conflicts with an applicable law, regulation, contract, or privacy commitment. A privacy violation can involve a security incident, but it can also result from … Continued
California is accelerating a move from AI safety claims to independently verified evidence. On September 18, 2026, Governor Gavin Newsom signed Executive Order N-9-26, directing state agencies to accelerate the development of California’s independent AI oversight framework and to evaluate potential additions to its AI safety laws. The proposals include onsite independent verification at large … Continued
California’s new AI audit laws do not require every organization using AI to obtain an independent audit. They do, however, establish a more formal accountability framework for the auditors that assess AI systems for compliance with state law. Signed on September 9, 2026, SB 813 requires California to develop standards for designating independent verification organizations … Continued
