The SecurityWeek analysis of Black Kite’s 2026 report correctly flags velocity-without-visibility as the core supply chain crisis, but understates how AI is structurally rewriting the attack surface. Beyond the 48,000 CVEs and Mandiant’s -7-day mean time to exploit, the real pattern is cascading exposure: frontier models are not merely finding bugs faster but generating code with latent weaknesses that only surface after widespread deployment. Black Kite’s reduction of 1,024 high-EPSS CVEs to just 58 truly discoverable threats reveals a triage problem that isolated patches cannot solve. Agentic AI tools, granted broad authorization without IT oversight, create shadow nodes inside supplier ecosystems—precisely the hidden vectors Wheatman notes but that most frameworks still treat as peripheral. Historical parallels from the 2020 SolarWinds compromise and the 2023 MOVEit campaign show that attackers consistently target the least-visible links rather than headline CVEs. The missing analytical layer is feedback-loop risk: rapid AI-assisted updates increase both vulnerability introduction and the speed at which adversaries weaponize them. Defensive AI may eventually narrow the gap, yet current adoption rates among mid-tier suppliers remain too low to offset the widening asymmetry. Organizations must shift from CVE-centric programs to continuous graph-based mapping of third- and fourth-party exposures, or risk systemic failure when the next wave of pre-patch exploits arrives.