The AI Security Larsen Effect: How to Stop the Feedback Loop
Maxim Kovalsky
[un]prompted 2026 — AI Security Practitioner Conference · Day 1 · 2
Enterprises buying AI security products face a broken procurement loop: vague marketing claims, no standardized evaluation framework, and vendor landscapes that expand by four new companies every week. Maxim Kovalsky of Consortium Networks built an AI-powered tool — backed by a synthesized risk taxonomy and a live vendor database of nearly 80 companies — to break that loop and give buyers evidence-backed recommendations in minutes. ---
AI review
A VAR built an AI-powered procurement tool for AI security products. The meta-irony is not lost on me. The risk taxonomy synthesis is the one legitimate contribution; the rest is a demo of a tool that helps enterprises buy things faster, which is a sales problem dressed up as a security problem.