

Free Lesson
Open LLMs: Real Risks, Real Fixes
45 min
Oct 2, 2026 12:00 PM
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What you'll learn
Map the real attack surface of open models
Distinguish exfiltration risk, weight tampering, and fine-tuning-based jailbreaks — they need different defenses.
Know why safety fine-tuning is fragile
Alignment can be stripped with ~10 adversarial examples for under $0.20 — plan defenses accordingly.
Choose the right deployment model for your risk profile
Compare closed-remote, open-remote, and open-local hosting on exfiltration, control, and operational burden.
Apply concrete mitigations today
Isolate system prompts, sign and pin supply-chain artifacts, and layer controls outside the model itself.
Why this topic matters
Open-weight models are spreading fast into production, but their security model differs sharply from closed APIs — fine-tuning can strip safety guardrails for pennies, and local deployment shifts the full security burden onto the adopting team. Builders and security leads need a practical framework for evaluating these tradeoffs before they ship, not after an incident.
You'll learn from

Amir Feizpour
Founder @ Aggregate Intellect

Michael Argast
CEO @ Kobalt.io




