aisecurity.llc
Academic research is a leading indicator: what researchers study today becomes practitioner vocabulary in 12–24 months, and hiring language in 24–36. This layer measures where that frontier is moving.
arXiv — External Research
Seeded metadata analysis from arXiv — papers classified by title, abstract, and category against the AI security taxonomy. Term velocity and bucket-share acceleration identify where academic attention is concentrating ahead of hiring-market adoption. The gap between high-velocity research terms and low hiring-corpus density predicts the next generation of required skills. Public metadata only — no PDF content analyzed.
Public metadata only. No PDF downloads.
Month: 2026-05
Deterministic title/abstract/category classification.
Directional term-frequency signal from matched seed terms.
Charts
External Signals
Directional research momentum from seeded arXiv metadata slices.
External Signals
Classification-bucket composition over time (% of annual seeded pull).
External Signals
Scatter of matched-term counts in prior period vs last 12 months.
