Introduction

Neo is purpose-built security infrastructure for teams that need to move faster without compromising depth. It brings LLMs into the security workflow in a way that is opinionated, scalable, and designed for professional use. Security tooling has lagged behind the pace of software development. Engineering teams have already adopted AI to ship faster, but security teams are still stuck with manual processes across the vulnerability lifecycle: triaging findings, reviewing code, validating fixes, and reporting results. Neo closes that gap. Instead of adding another tool to manage, it provides infrastructure that lets your team apply LLMs directly to security work across the organization, from code review to production, on a continuous basis. Every primitive in Neo is opinionatedly designed for security. Sandboxes provide isolated execution environments pre-loaded with offensive and defensive tooling. A multi-agent architecture routes work to purpose-built specialists that can simulate adversarial behavior and run complex security testing continuously across your organization. Memory compounds context across engagements so assessments get sharper over time. Verification validates findings before they reach your team, cutting false positives without requiring custom pipelines. Skills load domain-specific expertise on demand, scheduling enables unattended automation, secrets handle credential injection securely, GitHub integration embeds reviews directly in your shipping workflow, and HackerOne integration automates bug bounty triage. Every design decision is oriented toward adoption. Teams should be able to start using Neo and see results without rearchitecting their process. The agents work with the tools and workflows you already have. The system scales horizontally across your organization without requiring more people. And the primitives compose together so the platform grows with the complexity of your security program.