Privacy incident response has become an enterprise-wide responsibility. Expanding reporting requirements, third-party risks, and greater board oversight mean privacy, legal, security, and IT teams need to coordinate earlier and make decisions with incomplete information. Drawing on her experience as a Chief Privacy Officer, Danielle Manner explains how teams can navigate uncertainty while building a clear, defensible record of their response. Watch “The Cost of Waiting: The Hidden Price of Manual Privacy Incident Response” on demand to hear more of Danielle’s perspective and learn how manual processes and delayed decisions can compound the costs of incident response: lnkd.in/gdPnQV7Y #PrivacyIncidents #IncidentResponse #DataGovernance #RadarFirst

From AI Governance to AI Incident Readiness: Key Takeaways from @the_iapp PSR + AI Governance Global 2026 in #Seattle: Our takeaway: uncertainty about harm should still prompt investigation. Preserve the evidence, assess the scope, and determine whether containment is needed. A few other takeaways from the conversations: • Teams need shared definitions of hazards, harm, and incidents, plus clear escalation thresholds. • Existing privacy, security, and risk workflows provide a useful foundation for AI response. • AI investigations may require product, engineering, model owners, and vendors, in addition to legal and compliance. • Decision records should explain what was known at the time and why the team acted. We shared more in our full conference recap ➡️ radarfirst.com/blog/iapp-psr… #IAPPPSR #RadarFirst #AIGovernance #AIIncidents #ResponsibleAI #Privacy #RiskManagement

At @radarfirst, we see AI incident readiness as a practical test of AI governance: can your team turn documented policies into coordinated action when something goes wrong? Recent reporting about major AI companies preparing for a catastrophic event raises questions for any organization deploying AI. An agent exceeding its permissions, sensitive data appearing in an output, or a vendor disrupting a critical workflow could require immediate attention. • Could your team answer these questions in the first hour? • Which AI system was involved, and who owns it? • What was it authorized to do? • Who can restrict its access or stop its activity? • What evidence is available to investigate? • Who needs to be involved in assessing harm and communicating next steps? Our perspective: readiness starts with an inventory, clear ownership, documented operating boundaries, and a response process teams have actually rehearsed. What you learn from an incident should then inform permissions, controls, and oversight. Has your organization included AI scenarios in incident response exercises? Where have you found the biggest gaps? Read more: radarfirst.com/blog/ai-incid…

The Alex Exchange, Episode II | When AI Agents Cross the Line xitter.cf/i/broadcasts/1dKrPrWPE…

What happens when you put your AI roadmap in front of the people who use your product? 🤔 💡 You get better ideas. 🚀🎯 Four teams recently joined @radarfirst's AI Agent Innovation Lab to explore real workflow challenges and help shape what comes next. Together, participants developed four new agent concepts and shared a clear vision for AI that reduces manual work, delivers better insights, and improves consistency while keeping people in control. Their feedback is now helping guide our Product and Engineering teams as we shape the future of RadarFirst AI. We’re not just building AI for the people who use RadarFirst. We’re building it with them. Thank you to everyone who participated, shared ideas, and helped shape what’s next. More to come. #PrivacyTech #ArtificialIntelligence #ResponsibleAI #RadarFirst

An AI model doesn’t have to break for an AI incident to happen. ⚠️ 📢 An approved tool used for an unapproved purpose. An automated process that bypasses required human review. Both can create harm, even when the technology works as designed. Would your team recognize these incidents and know what to do next? Watch “AI Incident Management: The Next Big Thing in AI Governance” on demand to explore real-world examples, ownership and accountability, and practical steps to prepare your organization. Watch the full webinar here: radarfirst.com/webinar/ai-in… #AI #AIGovernance #IncidentManagement #ResponsibleAI #RadarFirst

AI incidents are already happening. The big question is: what happens next? 🤔 Meet @radarfirst AI Incident Management. 💡 It gives teams one place to capture what happened, coordinate the response, and track every decision. Less scrambling. More clarity. A better way to respond when AI goes wrong. Learn more ➡️ radarfirst.com/ai-incident-m… #AIIncidentManagement #AIGovernance #PrivacyIncidentManagement #LegalAI #RiskManagement #RadarFirst

In the final installment of our “When AI Goes Wrong” livestream series, Zach Burnett and Lauren Wallace wrapped the conversation by examining causality, severity, and the evidence organizations need when responding to AI-related harm.

When AI Goes Wrong, Part III: Causality, Severity, and Defensible AI Incide xitter.cf/i/broadcasts/1pJdRDmqR…

AI can accelerate legal analysis. Accountability remains human. @OpenAI's Astra for Law shows how quickly specialized AI is moving into high-stakes professional workflows. For privacy leaders, that raises critical questions about data access, human review, decision authority, and auditability. In his latest article, Alex Layng, VP of Product at @radarfirst, explores what this launch means for privacy and why the controls surrounding AI matter as much as its capabilities. Read the RadarFirst perspective: radarfirst.com/blog/astra-fo… #AIGovernance #PrivacyIncidentManagement #LegalAI #RiskManagement #AIIncidentManagement #RadarFirst

When does an AI incident become harm, and when does that harm become serious enough to trigger regulatory action? In this clip from this month’s episode of The Alex Exchange, Alexander Mercer and Alex Layng explore how emerging AI regulations define harm, set thresholds and distinguish everyday incidents from serious consequences affecting health, financial well-being and critical infrastructure. As AI incidents become more visible, drawing these lines will only become more important. Watch the full episode on demand: bit.ly/TheAlexExchange_Augus… #AIRegulation #ResponsibleAI #AIGovernance #AIIncidentManagement #RiskManagement #RadarFirst #TheAlexExchange

When AI goes off script, what happens next? 🤔 AI incidents aren’t a reason to stop innovating. There’s a reason to be ready. In our latest blog, Alex Layng, VP of Product at @radarfirst, explores how AI incident management helps organizations detect, assess, escalate, remediate, and learn from unexpected AI behavior, while protecting trust and accountability. Guardrails matter, but operational readiness is what makes responsible AI adoption durable. Read more ➡️ radarfirst.com/blog/ai-incid… #AIIncidentManagement #AIGovernance #ResponsibleAI #RiskManagement #RadarFirst

Today, on the 25th anniversary of September 11, 2001, we pause to remember the lives lost, honor the heroes who answered the call, and stand with the families and communities forever changed. Twenty-five years later, their courage, sacrifice, and memory remain in our hearts. We will never forget. 🇺🇸 #NeverForget #September11 #PatriotDay #25thAnniversary

🚨 AI incidents are operational risks, not just ethics debates. Zach Burnett and Lauren Wallace share how to build a repeatable, auditable, and defensible AI incident response framework. 🛡️ Read the Part II recap 👇

When AI Goes Wrong: Build a Defensible AI Incident Response Framework xitter.cf/i/broadcasts/1DGleVYBL…

Today, we celebrate the dedication and hard work that keep us moving forward. From all of us at @radarfirst, enjoy a well-deserved day of rest, recognition, and appreciation! 🇺🇸 Happy #LaborDay!

ChatGPT can now connect to Epic health records, but a BAA and enterprise controls don’t automatically make every implementation HIPAA-compliant. What healthcare leaders should know about PHI: radarfirst.com/blog/chatgpt-… View article

The Alex Exchange | Episode I: Are Privacy Teams Ready to Own AI Risk? xitter.cf/i/broadcasts/1nxeLMkMa…