RunSybil, or the whole surface?
RunSybil and SuperPentest both target modern application risk, from different angles. Here is an honest account of where each fits, with competitor details drawn from public materials as of October 2026.
The short version: RunSybil is a well-funded, fully-autonomous offensive tool from a strong red-team pedigree. SuperPentest also covers authenticated flows, business logic and the AI agents inside your product, and makes its safety and honest coverage a deterministic property rather than a promise.
At a glance
| Capability | SuperPentest | RunSybil |
|---|---|---|
| Autonomous | ✓ | ✓ |
| Authenticated testing as each identity | ✓ | Varies |
| Business-logic testing | ✓ | Varies |
| AI-agent & prompt-injection testing | ✓ | Varies |
| Clean-session reproduction before report | ✓ | Varies |
| Scope enforced by code, not model judgement | ✓ | — |
| EU hosting (AWS Frankfurt) | ✓ | — (US) |
| Published pricing | ✓ from €3,500 | — |
Where RunSybil is strong
RunSybil was founded by engineers who ran red teams at OpenAI and Meta, and raised a $40M round led by Khosla Ventures in 2026. Its pitch is fully-autonomous offensive testing from people who have attacked large systems at scale. If you want an autonomous agent pointed at your surface from a team with deep offensive credentials, it is a serious option.
Where SuperPentest differs
SuperPentest is an autonomous AI penetration testing platform for web applications, APIs and AI agents. It performs authenticated testing as each identity you supply, reasons about business logic, and tests the AI inside your product — prompt injection, tool-call boundaries and MCP. Every candidate is reproduced from a clean session with hash-chained request/response evidence mapped to SOC 2, ISO 27001, PCI-DSS, NIS2, DORA and OWASP, and it proves every finding from a clean session, with scope enforced by code, running in the EU (AWS Frankfurt) with published pricing. AI-agent testing → · how we verify →
On trusting an autonomous agent: SuperPentest answers the "can I trust what it reports" question structurally. A candidate is never a finding until it is reproduced from a clean session, scope is enforced by code rather than the model’s judgement, and a degraded run is stamped degraded rather than quietly passed as clean. How findings are verified →
Which to choose
- Choose RunSybil where its focus matches your priority, as described above.
- Choose SuperPentest if you need autonomous testing of web, APIs and the AI inside your product, authorization and business-logic coverage, EU data residency, and reproduced evidence your engineers and auditors can act on.
- Not sure? See the full field in best AI pentesting tools 2026.
FAQ
Is SuperPentest an alternative to RunSybil?
Yes. Both are autonomous. SuperPentest is distinguished by authenticated and business-logic testing, security testing of the AI agents in your product, EU data residency, published pricing, and a deterministic scope gate where safety is enforced by code rather than the model. Verify current capabilities with each vendor.
What is the main difference?
RunSybil leads with an autonomous engine from an ex-OpenAI/Meta red-team team. SuperPentest reproduces every candidate from a clean session before it is reported, tests the AI inside your product, and runs in the EU with published pricing.
Evaluate SuperPentest. Book a demo or request an evaluation account. See the full comparison.