Elite AI hackers aren’t born. They’re trained.
Elite AI hackers aren’t born. They’re trained.
Horizon3 is proven for infrastructure and network red teaming, but its web app testing is new, its exploits are deterministic, and it has no proprietary AI stack. Novee is built for the application layer and chains business logic like an attacker.
Strong infrastructure coverage doesn’t secure the application layer, where most breaches actually start and the business logic hides.
No proprietary offensive model.
Web app testing is still new.
Lighter validation for web apps.
Siloed from the tools devs use.
No closed loop on the fix.
Application-layer security is only as strong as what it finds in your business logic, how confidently you can act, and whether the fix holds.
A proprietary offensive AI stack.
Validation built for zero false positives.
A closed loop to a verified fix.
Built into your workflow.
Predictable per-asset pricing.
Full application-layer coverage.
| Capability | Novee AI Pentesting | Horizon3 |
|---|---|---|
| Testing depth | Reasons through your application and chains business logic flaws into real attack paths, the way a human attacker would. |
Infrastructure and network exploitation only. Deterministic execution finds known vulnerability classes but can’t adapt to novel business logic. |
| Coverage | Web apps, APIs, mobile apps, and AI agents/LLMs across your external footprint. |
Infrastructure and network. Web application testing is Early Access; no mobile or AI app testing. |
| Offensive AI stack | Proprietary offensive reasoning model, post-trained on real attacker tradecraft and orchestrated using a proprietary harness with best-in-class frontier models selected per task (multi-model). Optimized with every recurring test cycle. |
No proprietary model. Scopes third-party general-purpose LLMs to specific exploit decisions; the capability ceiling is set by those models. |
| Validation architecture | Three independent agents (a finder, a validator, and a blind re-validator with no shared context) plus deterministic checks where possible. If any stage fails, the finding is never reported. |
Deterministic validation for infrastructure, no independent multi-agent architecture for web app testing. |
| Closed-loop remediation & retesting | Remediation tailored to your WAF, backend, and codebase, not generic OWASP. Automatic retesting confirms the fix held and flags new risk the change introduced. |
No stack-specific remediation and no automatic retesting. |
| Compounding application context | Builds an Asset Intelligence Model of roles, workflows, APIs, and business logic that deepens every cycle. |
Each run is scoped independently; context does not compound across runs. |
| Continuous, change-triggered testing | Runs on demand or automatically when code ships via CI/CD. No scheduling, tokens, or human intervention. |
Continuous for infrastructure; no change-triggered testing for web applications. |
| Workflow and CI/CD Integration | Native CI/CD and change-triggered workflows, plus Jira and GitHub. Fixes drop to the code level, aligned to your codebase. |
Integrates through a proprietary MCP only. No CI/CD, Jira, or GitHub integration. |