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Thursday November 5, 2026 3:30pm - 4:15pm PST
We ran three fundamentally different security analysis approaches against the same production monorepo at a large tech company: a pattern-based static analysis tool, a code property graph analyzer, and LLM-powered code review. Together they surfaced over 150 confirmed or validated security findings.

Each approach has real strengths and real limitations. Pattern-based static analysis is fast and deterministic but struggles with complex taint propagation and cannot reason about logic. Graph-based analysis can trace dataflow across the entire codebase but has no concept of developer intent. LLM-powered review can reason about whether a security mechanism actually does what it claims, but it is non-deterministic, expensive, and cannot guarantee exhaustive coverage the way a static tool can.

We present a practical methodology for layering these approaches, share the detection overlap data from our analysis, and provide a framework for deciding which paradigm to apply where.
Speakers
avatar for Mudita Khurana

Mudita Khurana

Staff Security Engineer, Airbnb
Mudita Khurana is a Tech Lead at Airbnb, where she builds scalable security tooling and automation across the software development lifecycle. Previously at Meta, she drove key initiatives in product security, including bug bounty strategy, privacy-focused reviews, and automated vulnerability... Read More →
Thursday November 5, 2026 3:30pm - 4:15pm PST
Room: Grand Ballroom B (Street Level)

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