01Bug bounty program operators — Cleaner submissions from the hunter side
02Security consultancies — Extend delivery without extending headcount
03AppSec and platform teams — Proactive discovery in your SDLC
Partnership models
Who we collaborate with
Bug bounty program operators
Cleaner submissions from the hunter side
If you run a bug bounty program on HackerOne, Bugcrowd, or a private platform, you benefit when hunters use tooling that enforces scope and validates findings before submission. Fewer out-of-scope reports. Fewer "AI slop" submissions with no reproduction evidence. More CONFIRMED findings with working curl commands and complete evidence chains.
Scope JSON export in Hunt-compatible format for hunters in your program
Submission formatting aligned with your program's disclosure template
Hunters using RaSEC Hunt commit to the guidelines and validation process before submission
For: Program operators on HackerOne, Bugcrowd, Intigriti, or private platforms
Security consultancies
Extend delivery without extending headcount
Security consultancies face a capacity problem: client demand for continuous security testing exceeds what analyst teams can deliver manually. RaSEC Hunt's overnight execution model lets your team run scoped agentic hunts on client targets while your analysts focus on strategic analysis, client communication, and high-complexity manual testing that AI cannot replicate.
Overnight hunt execution that runs while your team is offline
Validated finding output with complete evidence ready for analyst review in the morning
Elite tier supports multiple concurrent sessions — one per active client engagement
Custom PoC report templates for internal client delivery formats
For: Boutique appsec firms, offensive security practices, and red team consultancies
AppSec and platform teams
Proactive discovery in your SDLC
Internal AppSec teams can run scoped agentic hunts on pre-production or staging environments as part of their security review process. This is not the same as CI/CD DAST — it is a full agentic session that tests business logic, access control patterns, and auth flows with the same rigor as a skilled external hunter.
Scope rules can be defined for internal staging environment URL patterns
Results feed your internal finding triage workflow with validated evidence
Hunt sessions can be scheduled via API for integration with release review processes
No-log mode and data residency controls for environments with strict data handling requirements
We do not publish win-rate percentages, success statistics, or coverage numbers that cannot be independently verified against real target environments. Partnership outcomes are measured on your actual scope.
Clear capability boundaries
We document what the agent can do and what it cannot. Race conditions are Elite tier only. Prompt injection requires AI-powered target endpoints. Logic bugs require application context. We do not over-promise.
Data stays yours
Partner engagement data — target scope, finding outputs, report content — is not shared across partnerships, not used for training, and subject to the same retention and deletion policies as individual tier plans.
Current stage
Early partnership cohort
RaSEC Hunt is shipping in active development. The partnership program is in its early cohort phase. We are working with a small number of program operators, consultancies, and AppSec teams who are willing to engage with the tooling in its current state and provide feedback on what the integration model should look like.
If you are a program operator who wants hunters submitting cleaner, validated findings: reach out. If you are a consultancy who wants to trial overnight agentic hunts on a client engagement: reach out. We will scope the engagement honestly against current capability.
We do not have a polished partner portal, a co-marketing framework, or a referral program yet. What we have is real tooling, a clear integration model, and a willingness to work closely with early partners to build the right collaboration structure.
If that sounds like your kind of partnership — early stage, direct, and honest about where the gaps are — reach out via the contact page and tell us which model fits your situation.
