HackerOne Hai
HackerOne's AI-augmented offensive security service — Hai is an LLM-assisted triage/research copilot for hackers, plus a productised 'AI red-team' service connecting customers to skilled human red-teamers for LLM systems. Used by major LLM providers (OpenAI, Anthropic) historically as a vulnerability surface.
At a glance
- Type
- AI-assisted pentest + AI red-team service
- Tier
- T2
- Created
- 2012 (HackerOne); Hai launched 2024
- Latest release
- not applicable — wrong section
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Pay-per-finding + retainer service tiers
- Funding
- not applicable — wrong section
Taxonomy
- storage
- none-trivial
- retrieval
- none
- persistence
- session-only
- update
- agent-controlled
- unit
- turn
- governance
- opaque
- conflict
- out-of-scope
When to use
Optimised for: enterprise GenAI red-team via human bug-bounty hunter network
Anti-fit: not applicable — wrong section
Pros & cons
Pros
Largest crowdsourced offensive-security network; AI red-team service has direct human-in-the-loop expertise.
Cons
Service business with usage-pricing complexity; AI features overlay an existing-platform identity.
Claims & capabilities
HackerOne $116M Series E 2019 (Valor + Benchmark); platform processed >$50M in bug bounties 2023
Technical surface
- API surface
- not applicable — wrong section
- Backend storage
- not applicable — wrong section
- Deployment
- not applicable — wrong section
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — wrong section
- MCP
- not applicable — wrong section
- A2A
- not applicable — wrong section
- OpenTelemetry
- not applicable — wrong section
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