Annual pentests cost $40k. They take weeks. They produce 200-page PDFs nobody reads. The findings are subjective, vary by tester, and expire the moment your infrastructure changes.
Point-in-time testing in a continuous-deployment world is a compliance ritual, not a security practice.
Every competitor gates their tool behind a demo request. We put ours on GitHub. Read every line of code before you talk to anyone. That's the bar.
Script Children runs 63 autonomous AI agents against your internal network. No humans in the loop when you want them. Repeatable on demand.
Agents enumerate your attack surface, chain vulnerabilities, and attempt real lateral movement, the same paths an actual adversary would take.
Automated findings with remediation priorities ranked by your real risk, not CVSS scores. No 200-page PDFs. Actionable output your engineers can work from today.
Re-run after remediation. Confirm the fix. Continuous validation, not annual hope.
Script Children is a 63-agent AI pentesting framework that replaces $40k annual internal pentests with ~$500 in LLM tokens. It's on GitHub. Read the code before you talk to anyone.
Script Children automates internal network penetration testing using a swarm of AI agents. Each agent handles a different phase of the engagement — reconnaissance, enumeration, exploitation, lateral movement, reporting.
Born from community competitions, the framework is battle-tested in production environments. It produces actionable findings, not compliance theater.
Built by igNoctis. Open source. Free.
Run it yourself. Read the code. Break it. Fix it. Ship it.
We built it. We know where it breaks and where it doesn't.
When the framework finds something your team can't remediate alone, when you need an operator who knows every line of the code, that's when you call us.
| Tier | Price | What You Get |
|---|---|---|
| Script Children | $0 | The framework. Your team runs it. |
| Advisory | $8k/mo | We interpret the results. Strategy and review. |
| Operator | $20k/mo | Embedded. We run, fix, and train. |