Ridge Security RidgeGen and RidgeBot vs RunSybil Sybil
Quick answer
Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot (Ridge Security (Ridge Security, Inc.)) and RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot (Ridge Security (Ridge Security, Inc.)) and RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot |  RunSybil Sybil (AI offensive security / autonomous pentesting) |
|---|---|---|
| Vendor | Ridge Security (Ridge Security, Inc.) | RunSybil |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Offensive-security vendor from Milpitas, California. Its on-premises, model-agnostic RidgeGen agent does agentic AI red teaming: it reasons through multi-step attack chains to find business-logic and non-CVE risks, verifies every finding with reproducible exploit evidence, gives fix guidance and re-runs to confirm fixes. It sits alongside RidgeBot automated pentesting. | AI offensive security platform whose agents run black- or white-box autonomous pentests, chain vulnerabilities across code, APIs, cloud and infrastructure, reproduce every finding, and re-test on each deployment. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, vulnerability management, exposure management | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://ridgesecurity.ai/ridgegen/ | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-19 | 2026-10-18 |
| Official site | https://ridgesecurity.ai/ridgegen/ | https://www.runsybil.com/solutions/autonomous-penetration-testing |
FAQ (from this dataset)
What is the difference between Ridge Security RidgeGen and RidgeBot and RunSybil Sybil?
Both are listed under Security. Shared tasks: pen-test-management, attack-surface, vulnerability-management. Ridge Security RidgeGen and RidgeBot-only tasks: exposure-management. RunSybil Sybil-only tasks: appsec. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot: Not published RunSybil Sybil (AI offensive security / autonomous pentesting): Not published
Where are Ridge Security RidgeGen and RidgeBot and RunSybil Sybil headquartered?
Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot publishes HQ in United States. RunSybil Sybil (AI offensive security / autonomous pentesting) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with Ridge Security RidgeGen (agentic AI red teaming) and RidgeBot or RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- Amnify security agents (agent-driven code audit, AI pentesting, PR review and autofix pull requests) — German AppSec product from Düsseldorf: a team of agents audits repositories (SAST, secrets, SCA, IaC, CI/CD) and cloud accounts, triages signals so only confirmed findings surface, pentests running apps inside a verified scope with a separate agent reproducing every finding, reviews pull requests with a merge-blocking status check, and opens fix pull requests that run your tests but never merge themselves.
- noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) — Italian agent for mid-sized companies and NIS2 entities without an in-house SOC: after verifying domain control it continuously discovers assets and assesses network, web apps and APIs, correlates findings with EPSS and CISA KEV, confirms exploitability with automated validation pentests, ranks risks by business impact and prepares NIS2, DORA and ISO 27001 reports; the team decides what to fix. · noze CyberAgent (AI agent for continuous attack-surface monitoring, automated validation pentesting and NIS2 evidence) pair comparison
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status. · SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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