WhatA managed service that continuously scans large, mature codebases (OS kernels, infrastructure software, enterprise C/C++) using frontier LLMs to find deep, long-hidden vulnerabilities that static analyzers miss.
SignalThe demonstration that an LLM agent found a real, exploitable 23-year-old Linux kernel bug that evaded decades of static analysis, fuzzers, and human review proves these models can find a class of bugs that existing tools cannot surface reliably.
Why NowFrontier models just crossed the capability threshold where they can reason about complex multi-file C code paths and catch subtle buffer overflows that traditional tools either miss or bury in false positives — this was not possible even 12 months ago.
MarketEnterprise security teams, open-source foundations, and government agencies responsible for critical infrastructure; TAM overlaps with the $15B+ application security market. Competes with Snyk, Semgrep, and CodeQL but targets deep semantic bugs they miss.
MoatAccumulating a proprietary dataset of confirmed-true vs. false-positive findings lets you fine-tune models and build triage heuristics that dramatically improve signal-to-noise over time — a compounding data advantage.
Claude Code Found a Linux Vulnerability Hidden for 23 YearsView discussion ↗ · Article ↗ · 399 pts · April 4, 2026
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