


CISA’s BOD 26-04 shifts vulnerability patching to a risk-based model. While this helps prioritize critical threats, it necessitates continuous monitoring of deferred vulnerabilities and live control validation. Dataminr’s PTEM provides the real-time intelligence needed to bridge this gap.

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.



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.

The 2026 Verizon DBIR shows security models are misaligned with modern attacks. Key findings include rising vulnerability exploitation, declining remediation, increased third-party breaches, and AI-driven threats. CISOs must shift from reactive analysis to proactive monitoring.



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.

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.

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