Super Intelligence Swarm — SISwarm.ai
Supervised AI security testing for authenticated web apps and APIs.
A coordinated swarm of specialist AI agents does the repetitive testing work inside a scope you have approved in writing. A qualified human reviews every finding before it is called validated, so you get reproducible evidence instead of noise.
One engagement, a pipeline of specialist agents.
- RECON01
Maps the in-scope application, endpoints and services, using test accounts for each user role you provide.
- ANALYSIS02
Proposes hypotheses about likely weaknesses. A second model from a different vendor critiques them before anything is attempted.
- ATTACK03
Runs approved checks with registered, scope-checked security tools and collects evidence. Agents never get a raw shell.
- VALIDATION04
Independently re-runs each check with a different vendor's model, so one model never grades its own work.
- REPORTING05
Assembles findings, evidence, coverage and limitations for human review, with JSON and SARIF export.
Human-supervised
Risky actions pause until a person approves. No finding reaches you as validated without a qualified reviewer signing off.
Scope-fenced
Your target allowlist is checked before every tool call. Out-of-scope hosts are blocked and logged. Authorized targets only, under a signed rules of engagement.
Validated findings
Reproducible evidence, not a pile of scanner alerts. Each finding moves from candidate, to reproduced, to human-validated.
Now forming design-partner pilots.
For B2B software teams with an authenticated web app or API who want continuous, reviewed testing and are willing to help shape the product through a scoped pilot.