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EPISODE · May 28, 2026 · 22 MIN
Ep 28 | Maxim Kovalsky - The AI Security Larsen Effect: How to Stop the Feedback Loop | [un]prompted 2026
from [un]prompted Security Practitioner Con 2026 · host [un]prompted
Day 1 | Stage 2Managing Director from Consortium Networks introduces a capability-based framework for AI security. The market has 60+ vendors with unclear guidance. Framework zeros in on risks actually relevant to your architecture, helps decide how to address them (configure, buy, or build), and produces rational vendor shortlist instead of analysis paralysis. Live demo with realistic scenario: agentic healthcare chatbot with PHI data.Maxim Kovalsky is Managing Director, AI Security CoE, Consortium Networks.Watch on YouTube: https://www.youtube.com/watch?v=U1TJpMpxZiU
What this episode covers
Day 1 | Stage 2Managing Director from Consortium Networks introduces a capability-based framework for AI security. The market has 60+ vendors with unclear guidance. Framework zeros in on risks actually relevant to your architecture, helps decide how to address them (configure, buy, or build), and produces rational vendor shortlist instead of analysis paralysis. Live demo with realistic scenario: agentic healthcare chatbot with PHI data.Maxim Kovalsky is Managing Director, AI Security CoE, Consortium Networks.Watch on YouTube: https://www.youtube.com/watch?v=U1TJpMpxZiU
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Ep 28 | Maxim Kovalsky - The AI Security Larsen Effect: How to Stop the Feedback Loop | [un]prompted 2026
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