What Is an Autonomous Security Factory?

An autonomous security factory is a setup where always-on security workers continuously defend your software instead of relying on one-off scans. Superagent describes it as a system where "security workers" protect applications, repositories, agents, and infrastructure around the clock, using a decision model called Security-One to triage what they find. It fits teams that already have agents, repos, and workflows in place and want security to run continuously on top of them rather than replacing them.

How the factory is structured

The model is drawn as two sides exchanging work along curved routes:

• Your software — applications, agents, repositories, and infrastructure.
• Security workers — the always-on components that do the defending.
• Your integrations — GitHub, Cursor, Claude Code, and Codex appear as connected tools.

Work moves between the protected systems and the security workers, so findings and fixes flow back into the tools you already use.

What the Security-One decision model does

Security-One is the decision model behind triage. Rather than dumping raw alerts, it decides what a finding means and what should happen next. One listed use case is "always-on security triage for your Supabase app," where the Security-One decision model is used to triage the app's security signals.

The practical effect: you get triaged findings instead of an unfiltered list, which is what makes an always-on system usable rather than noisy.

What gets covered

The site also names specific guardrail categories — Agent Guardrails, Runtime Guardrails, and Context Guardrails — alongside PR Security and Secure Dependency Updates.

The self-learning loop

Superagent describes a "self-learning loop" where "each run beats the last." Each security run feeds back into the next, so the factory improves over time rather than staying static. This is the difference between a scanner you re-run and a system that accumulates context.

Concrete use cases

The site lists three worked examples:

1. Always-on pentester with Cursor — schedule repository Red Team runs and send triaged findings from one repository to Cursor for reviewed remediation.
2. Validate dependency updates end to end with Devin — publish policy-cleared vulnerability updates, trigger Devin from the pull request webhook, and test the running application before merge.
3. Always-on security triage for a Supabase app — use the Security-One decision model to triage the app.

Each one keeps the existing tool (Cursor, Devin, Supabase) and adds security workers around it.

What stays in place

A key design point: "Your integrations, agents, and workflows stay. Nothing to replace." The factory is meant to sit on top of your current stack — GitHub, Cursor, Claude Code, Codex — not to substitute for it. If your concern is ripping out tooling to adopt security, that is explicitly not the model here.

When this fits

Consider an autonomous security factory if you want continuous coverage across repos, agents, and infrastructure, and you already have agents and workflows you don't want to rebuild. If you only need periodic point-in-time scans, a one-off scanner may be simpler. Pricing and plan details are not covered in the source material — check the pricing page for current terms.