Traditional security scanners generate excessive noise through false positives, causing alert fatigue and slowing remediation. Aikido Security applies a layered 'Swiss cheese' approach to reduce this noise: reachability analysis filters out unreachable code paths, AutoTriage uses reasoning models to assess exploitability and prioritize findings, EPSS scores and environment context (internet exposure, dev vs. prod) further refine severity, human-in-the-loop controls surface recommendations in IDEs, PRs, and CI pipelines, and AI-powered AutoFix generates pull requests for confirmed high-impact vulnerabilities. The goal is to surface only actionable issues and accelerate fixes where they matter most.
Table of contents
The importance of layered defenseShrink holes with reachabilityAutoTriage as a reasoning gateExploit likelihood and environment contextHuman‑in‑the‑loop where it countsAutoFix to ship fixes immediatelyPutting Aikido to workSort: