


Across Europe, emergency management teams can be the last to know when a major incident begins, creating an information gap. By the time consequence management is activated—shelter, housing, medical coordination, public communications—the crisis may have been compounding for hours. This piece examines why situational awareness arrives too late, and what changes when emergency management teams are informed from the early moments of a crisis.

Adversaries are evolving from typical botnets to complex, tiered proxy networks (or ORBs) for greater deniability in intrusions. This challenges indicator-centric defenses like IP blocking. Defenders must adopt robust measures based on activity and endpoint nature, while long-term solutions require policy changes and reducing device compromise.



North American transportation agencies are preparing for the unprecedented security challenges of the 2026 FIFA World Cup. Learn how they are leveraging real-time early warning signals to get ahead of unplanned incidents across all 16 host cities.

Risk doesn’t wait. It cascades across domains, crosses borders, and moves faster than most organisations can track. The question was never whether this would happen. It’s whether you’ll see it coming.



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.

Explore how Dataminr’s initial Agentic AI technology, Intel Agents, provides the AI-powered real-time event, threat & risk intelligence that empowers security teams to respond with unprecedented speed and confidence.

Get a firsthand look at how our AI platform helps you know first, so you can act faster.