The AI Security Larsen Effect: How to Stop the Feedback Loop

Maxim Kovalsky, Managing Director, AI Security CoE, Consortium Networks, speaks at [un]prompted 2026 on: The AI Security Larsen Effect: How to Stop the Feedback Loop. The AI security market has 60+ vendors, and your VAR just sent 15 one-pagers. OWAS...

Maxim Kovalsky, Managing Director, AI Security CoE, Consortium Networks, speaks at [un]prompted 2026 on: The AI Security Larsen Effect: How to Stop the Feedback Loop.

The AI security market has 60+ vendors, and your VAR just sent 15 one-pagers. OWASP tells you what can go wrong. NIST tells you how to govern. Neither tells you which risks actually matter for YOUR architecture or HOW to implement controls given your existing stack. This talk introduces a capability-based framework that zeros in on the risks that are actually relevant, helps you decide how to address them (configure what you own, buy something new, or build it yourself), and—as a consequence—produces a rational vendor shortlist instead of analysis paralysis. Live demo with a realistic scenario: agentic healthcare chatbot, PHI data, existing Azure and CrowdStrike stack. We'll go from “we need AI security” to implementation clarity in under 20 minutes.