


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.



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.

State CISOs face an impossible equation: extend cyber protection statewide with flat budgets while threats surge 225%. Third-party breach concerns jumped 77%. The solution isn’t more dashboards—it’s systems that close the gap between early signals and decisive action before windows close.

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