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RadarFirst perspective on closing the response gap behind agentic AI An AI incident does not become actionable simply because someone reports it. The report must reach a responsible owner, contain enough context to begin an investigation, and trigger a coordinated response while the evidence still matters. A recent Lowy Institute analysis illustrates the gap. According … Continued
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
New solution gives privacy, legal, compliance, security, and product teams a structured, defensible process for investigating AI incidents and coordinating their response PORTLAND, Ore. (October 1, 2026) – RadarFirst today announced the general availability of Radar AI Incident Management, a purpose-built solution that helps organizations investigate, manage, and document AI-related incidents. As organizations deploy AI … 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
