WhatA tool that sits between AI-generated bug reports and human engineering teams, deduplicating, verifying reproducibility, rating severity, and batching reports so engineers only see high-signal issues.
SignalMultiple commenters worry that LLM-generated bug reports will flood already-overworked security teams with noise, drowning real issues — and that existing human-filed bugs are already being ignored for years.
Why NowAs organizations adopt LLM-based vulnerability scanning, the volume of generated reports is about to explode, creating an urgent need for an intelligent filter layer that didn't exist before.
MarketSecurity and engineering teams at mid-to-large software companies; adjacent to the bug tracking market (Jira, Linear) but specialized. Key gap: no one owns the AI-report-to-human-attention pipeline.
MoatNetwork effects from ingesting triage outcomes across many teams build a proprietary severity-prediction model that improves with scale.
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