Runsybil website screenshot

Runsybil

RunSybil is an AI-native autonomous offensive security platform. Sybil — a system of AI agents — continuously penetration tests live applications and infrastructure, finding, exploiting, and validating real vulnerabilities without a human in the loop. It tests live applications black-box by default (no source code required), integrates with GitHub and GitLab to trigger targeted change testing on every code push, and validates every finding through a multi-agent pipeline before it surfaces, aiming to eliminate triage and false positives. RunSybil positions as a replacement for point-in-time penetration testing, legacy DAST/SAST scanners, and bug bounty programs, and also offers white-box testing for deeper codebase exploration. Founded in 2023 by Ari Herbert-Voss (OpenAI's first security hire) and Vlad Ionescu (Offensive Security Tech Lead at Meta), the company raised $40M led by Khosla Ventures and is trusted by security teams at Notion, Cursor, Turbopuffer, Baseten, and Thinking Machines Lab. No public developer API, SDK, or API documentation surface is published at this time.

Runsybil is profiled on the APIs.io network. Tagged areas include Company, Security, Offensive Security, Penetration Testing, and Application Security.

Runsybil’s developer surface includes engineering blog, signup flow, and 9 more developer resources.

15.1/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanySecurityOffensive SecurityPenetration TestingApplication SecurityVulnerability ManagementArtificial IntelligenceAI AgentsDevSecOps

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/runsybil: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Runsybil Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Commercial 1

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: runsybil
name: Runsybil
description: RunSybil is an AI-native autonomous offensive security platform. Sybil — a system of AI agents — continuously
  penetration tests live applications and infrastructure, finding, exploiting, and validating real vulnerabilities without
  a human in the loop. It tests live applications black-box by default (no source code required), integrates with GitHub and
  GitLab to trigger targeted change testing on every code push, and validates every finding through a multi-agent pipeline
  before it surfaces, aiming to eliminate triage and false positives. RunSybil positions as a replacement for point-in-time
  penetration testing, legacy DAST/SAST scanners, and bug bounty programs, and also offers white-box testing for deeper codebase
  exploration. Founded in 2023 by Ari Herbert-Voss (OpenAI's first security hire) and Vlad Ionescu (Offensive Security Tech
  Lead at Meta), the company raised $40M led by Khosla Ventures and is trusted by security teams at Notion, Cursor, Turbopuffer,
  Baseten, and Thinking Machines Lab. No public developer API, SDK, or API documentation surface is published at this time.
url: https://raw.githubusercontent.com/api-evangelist/runsybil/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/65f0bacd8d542276115a3910/696aa2cbcc07aa7c68427d3b_sybil-og.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- menlo-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Security
- Offensive Security
- Penetration Testing
- Application Security
- Vulnerability Management
- Artificial Intelligence
- AI Agents
- DevSecOps
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.runsybil.com
- type: About
  url: https://www.runsybil.com/company
- type: Blog
  url: https://www.runsybil.com/blog
- type: SignUp
  url: https://www.runsybil.com/schedule-a-demo
- type: TermsOfService
  url: https://www.runsybil.com/terms-of-conditions
- type: GitHubOrganization
  url: https://github.com/runsybil
- type: LinkedIn
  url: https://www.linkedin.com/company/runsybil
- type: Compliance
  url: https://www.runsybil.com/company
- type: Conformance
  url: conformance/runsybil-conformance.yml
- type: DomainSecurity
  url: security/runsybil-domain-security.yml
- type: LLMsTxt
  url: llms/runsybil-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 3
  pass: local-v1

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