Hack Your Own Code With Private Uncensored AI
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About this video
Find vulnerabilities before attackers do, privately and safely sandboxed.
Mainstream AI models refuse security work. Join NEAR AI for a live session with Zaki Manian on using private, uncensored AI models to audit your code, and on running untrusted code safely inside a sandbox. We'll also investigate a real case: a bug bounty report whose proof-of-concept code attacks the person triaging it.
You'll learn:
How to use AI models for security work, from triaging a report to investigating the bug
Why untrusted code must run in a sandbox, and what a malicious payload does with and without one
How to set up your own sandbox and run the same investigation on your own code
Come ready to follow along:
Create a free NEAR AI Cloud account. Free credits cover the session.
Create an API key in your dashboard.
Bring a repo you own or are authorized to test. No repo? We'll share a sample one.
Join from a laptop.
Speakers:
Zaki Manian, Expert. Veteran blockchain security builder, co-founder of iqlusion and Sommelier Protocol.
Sergey Astretsov, Moderator, Head of Product at NEAR AI.
Can't make it live? Register anyway and we'll send you the recording.
Security teams who want to go further can apply to NEAR AI RED: near.ai/cybersecurity
Transcript
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