AI is exposing gaps in the traditional security operating model, demanding faster decisions, tighter integration, and more adaptive processes to manage heightened risk.

Cyber threats are rising across phishing, DDoS, and ransomware, with eight in ten organizations seeing more incidents and over half reporting productivity losses from cyber events.

AI-enabled workflows, machine-to-machine interactions, and fluid identity boundaries are expanding the attack surface, including the supply chain with cloud platforms and numerous third parties.

The growing risk from interconnected ecosystems makes failing to manage the expanded surface more consequential for organizations.

AI-powered attacks are expected to become the top cyber threat in coming years, while many organizations have only partially integrated AI into security operations.

AI is accelerating the entire cycle from signal to impact, compressing the time organizations have to respond.

Budgets are increasingly directed toward AI-related security capabilities, signaling a shift in investment priorities amid rising threat dynamics.

The traditional buffer between detection and consequence—manual escalation and cross-team coordination—is eroding as signals become higher volume, more varied, and less clear.

The core challenge is shifting from merely detecting threats quickly to making fast, accurate decisions and taking action at speed—an execution gap for CISOs and security teams.