Executives at major AI companies are reportedly planning for what could follow a catastrophic AI event. Axios describes scenarios involving cyberattacks that disrupt financial services, internet access, electricity, or water. OpenAI says its preparedness exercises cover a range of potential scenarios and do not treat those events as inevitable. Read the original reporting. The reporting … Continued
At IAPP Privacy. Security. Risk. + AI Governance Global 2026 in Seattle, one question captured the challenge facing organizations today: How can governance frameworks keep pace with the speed of AI deployment? The question came up following “Harm or Hazard? When Your AI Event Becomes an AI Incident,” a session led by Alex Layng, Vice … Continued
An Episode II recap of The Alex Exchange AI agents can retrieve information, use tools, access connected systems, and take actions with real consequences. When an agent exceeds its authorization or causes harm, the organization operating it still needs to detect the event, contain the activity, assess the impact, and decide whether notification is required. … Continued
Privacy should bring Security into an AI incident when the organization needs technical facts or controls to understand what happened, contain the event, or support a defensible regulatory assessment. That includes questions such as what data the AI system accessed, where the data went, what permissions the system had, whether information was exposed, what actions … Continued
That distinction sounds simple. In practice, determining whether an incident is reportable can be one of the most consequential decisions a privacy team makes. Because discovering that something happened is only the beginning. The harder question is: What are we legally required to do about it? Is Every Security Incident a Reportable Data Breach? No. A … Continued
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
