Dataminr blog
Cyber Risk
Weaponizing the Neutral Web: Evaluating Adversary Proxy Infrastructure
Corporate Security
Prevent a $1.5 Billion Security Blind Spot With Predictive Resilience Framework
A reactive security approach to modern cyber-physical risk creates a $1.5 billion blind spot. The solution is AI-powered, real-time intelligence for proactive resilience. Explore how Dataminr and a predictive resilience framework help organizations reduce threat detection from days to minutes.
Cyber Risk
Three Days Isn’t the Answer: Why the Federal Government Must Rethink Cyber Defense From the Ground Up
Federal agencies face a pivotal moment: AI-accelerated threats demand not just faster patching, but smarter architecture. By embracing real-time threat intelligence, continuous exposure management, and preemptive risk models, agencies can build defenses that make any deadline achievable.
Cyber Risk
What State CISOs Told Us at NASCIO—And Why the Industry Needs to Listen
Cyber Risk
The Cisco Catalyst SD-WAN Cluster and the Case for Rethinking Threat Intelligence and Exposure Management
The Cisco SD-WAN cluster exposes why legacy threat intel workflows are broken. Tools like Dataminr for Cyber Defense fuse external risk signals with internal controls—giving defenders the real-time, contextualized intelligence needed to rethink exposure management.
Cyber Risk
Orienting Intelligence for Real-Time Alerting & Response
Cyber Risk
Reframing Cyber Risk, Part 2: When Prediction Forces a Business Decision
Cyber Risk
Reframing Cyber Risk, Part 1: The Shift from Reactive Security to Predictive Defense
Cybersecurity must move from reactive response to a preemptive defense model. Success relies on fusing threat intelligence and exposure management to proactively eliminate internal exposures and prevent attacks before they even begin.
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