COMPARE / VS XBOW
Beyond the web surface, into full-system context.
Autonomous AI pentesters have shown strong results on web-application targets. 0day Factory extends the same autonomy across identity, infrastructure, controls and organizational context — and centers the output on defensible exploit proof and re-test.
Where autonomous AI pentesters fits — and where 0day Factory is different.
Autonomous AI web pentesters are advancing quickly on application-surface testing and benchmark performance. The open question for buyers is how far context extends beyond the web surface and how exploit proof and re-test are handled.
This comparison describes the general, publicly understood approach of the category. It is not a claim about any specific vendor's current capabilities — verify those directly with the vendor. 0day Factory does not publish competitor benchmarks it has not independently run.
Compare on what actually matters.
Evaluate any offensive-security tool on these dimensions. The right-hand column describes the general category approach, not a specific vendor's current product.
| Dimension | 0day Factory | Autonomous AI pentester |
|---|---|---|
| Visibility | Reasons across software, infra, identity, controls, org policy and runtime together. | Often focused on the web/application surface. |
| Black-box execution | Tests the attacker-reachable surface within approved scope. | Strong on application-layer testing. |
| White-box context | Uses approved source, architecture and prior findings as fuel. | Varies by product. |
| Infrastructure | Cloud, hosts, networks and exposed services in the model. | Depends on scope beyond the app. |
| Identity | Users, service identities, roles, tokens and tenant boundaries. | Depends on product scope. |
| Security controls | Tests whether WAF/IAM/network/endpoint controls actually stopped the path. | Depends on product scope. |
| Org-policy context | Scope, exceptions, SDLC rules and threat models inform the investigation. | Generally not modeled per organization. |
| Exploit proof | Every finding carries path, safe validation and evidence. | Often strong on web PoCs; verify breadth. |
| Re-test | Re-runs the original hypothesis to prove the fix held. | Verify directly. |
| Customer-controlled execution | Workers run near approved targets under your authorization and audit. | Verify the execution and scope model directly. |
Questions, answered.
Should I replace autonomous AI pentesters with 0day Factory?
Often they are complementary. The useful question is which tool produces defensible exploit proof in your environment, with context, re-test and customer-controlled execution. Evaluate both on the dimensions above and verify each vendor's current capabilities directly.
Compare on exploit proof, not severity scores.
Request access and see a de-identified investigation end to end: hypothesis, path, safe validation, evidence and re-test.