Something worth discussing in the AI Security space: the Verizon 2026 DBIR confirms what many of us suspected — AI-assisted attackers have fundamentally changed the economics of vulnerability exploitation.
Vulnerability exploitation just became the single most common initial access vector (31% of breaches, up 55% YoY). The mechanism matters: GenAI is being used to automate vulnerability research, accelerate targeting, and rapidly generate malware variants — meaning the time between disclosure and weaponization is shrinking precisely as defender patch cycles are getting longer.
The implication is that signature-based and reactive defenses are structurally disadvantaged against this threat model. Stopping AI-assisted attacks requires AI operating at prevention time, combined with continuous visibility into what's actually exposed and exploitable.
Attached is a short analysis of the DBIR findings and how Check Point approaches this with AI-powered prevention (independently tested by Miercom) and Exposure Management. Happy to go deeper on any of this — would be interested to hear whether this matches what you're seeing in your own environments.
