Dataminr blog
Public Sector
What 6 Cities in 30 Days Reveal About Infrastructure Risk in 2026
Public Sector
Predicting Themes for the Esri Safety & Security Summit and Why Real-Time AI will be on Center Stage
The threat environment facing state and local governments is evolving faster than legacy tools were built to handle. At the 2026 Esri Safety & Security Summit, Dataminr’s public sector team will focus on three themes driving the conversation: resilience, modernization, and real-time information. Here’s what those themes mean in practice — and how AI-powered intelligence is changing what’s possible inside the Esri ArcGIS environment.
Public Sector
America250: What It Takes to Secure the Nation’s Summer of Events
Securing the America250 event series requires complex coordination across public and private stakeholders. Dataminr’s AI-powered real-time intelligence provides a crucial, shared operational picture, enabling faster, synchronized responses and consistent security coverage without human fatigue.
Cyber Risk
Beyond BOD 26-04: The Vulnerability Management Gap No Directive Can Fix
Public Sector
The Perimeter Has Moved: Airports, Public Data, and the New Critical National Infrastructure Threat
Critical national infrastructure threats no longer originate solely inside the perimeter. They come from power grids, third-party software platforms, geopolitical events, and criminal groups operating entirely online. Security teams managing airports and other major hubs are working with frameworks built for a threat picture that no longer exists. Real-time analysis of publicly available information is what closes the gap and shifts posture from reactive to anticipatory before operational damage occurs.
Cyber Risk
NIS2 Reporting Obligations: How AI-Driven Threat Intelligence Closes the Gap
Cyber Risk
From London, With Urgency: Dataminr at Infosecurity Europe 2026
Cyber Risk
Reframing Cyber Risk, Part 3: When the Machine Decides, Risk Appetite Takes Center Stage
Agentic AI doesn’t just flag risk — it acts on it. But agents don’t make judgment calls; they execute rules. Whoever defines those rules has made the most consequential governance decision in their agentic journey: how much risk the machine can take on alone.
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