0.security
0.security uses AI agent swarms to find and fix vulnerabilities in codebases, dependencies
The Problem
Software teams ship code faster than they can secure it by hand, especially as AI coding agents accelerate development. Meanwhile attackers are already using agent swarms to exploit gaps at machine speed. Traditional security tools flag individual bugs with severity scores but do not show how vulnerabilities chain together or why they matter in business terms, leaving teams unable to prioritize what to fix first. Dependency vulnerabilities, unknown CVEs, and misconfigurations across code, infrastructure, and web applications pile up faster than manual review can address.
The Solution
0.security runs swarms of AI security agents that index a codebase, build a graph of repos, dependencies and infrastructure, and investigate like real attackers to find, verify and prepare fixes for vulnerabilities. It covers code security audits, PR security reviews with deterministic scanning, dependency security with continuous SCA and 24/7 CVE monitoring, and cyber intelligence that matches new advisories against a company's own codebase. Verified findings result in fix pull requests opened automatically for a team to review and merge, or can be handed to a user's own coding agent (Codex, Claude Code, Cursor) with context and a prompt. Checks run on a schedule or triggered by PRs, pushes, merges and releases, with configurable agent swarm depth (1, 5, or 10 agents), and the product integrates with GitHub, Slack, Jira, Linear, GitLab, Microsoft Teams and email. The company also offers white/black/greybox pentesting and a research-preview binary-native reverse engineering product, both on request.
Why Now?
AI lets teams ship code faster than it can be secured manually, while attackers already use agent swarms to exploit gaps at machine speed, which the company presents as the reason security itself needs to run at agent speed.
