June 29 – July 2, 2026 · San Francisco, CA · imported from ai.engineer's public schedule feed

AI Engineer World's Fair 2026 — unofficial import demo

Unofficial demo. This programme was imported from the AI Engineer World's Fair's own public schedule feed to show vibeboard at real conference scale. Not affiliated with, or endorsed by, the organisers.

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SecuritySponsor Session

Using LLMs to Secure Source Code

Eugene Yan

When
Tuesday, June 301:30 PM – 1:50 PM · 20 min
Where
Track 5San Francisco, CA · imported from ai.engineer's public schedule feed
Google Calendar

About this session

Models are now finding and fixing real vulnerabilities at scale. Drawing on Anthropic's work with security teams, this talk walks a six-step workflow — threat model, sandbox, discover, verify, triage, patch — through one running example, shows where orgs actually bottleneck, and gives you a copy-paste path to your first scan.

Speaker

Eugene Yan
Eugene Yan

Member of Technical Staff, Anthropic

Eugene Yan is a Member of Technical Staff at Anthropic, where he works on safe and reliable AI systems at scale. He previously led ML/AI teams at Amazon, Alibaba, Lazada, and a healthtech Series A, and writes about LLMs, recommender systems, and engineering.

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