RunSybil Sybil (AI offensive security / autonomous pentesting) vs Swimlane AI SOC (Intelligent Deep Agents on Turbine)
RunSybil Sybil (AI offensive security / autonomous pentesting) (RunSybil) and Swimlane AI SOC (Intelligent Deep Agents on Turbine) (Swimlane) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  RunSybil Sybil (AI offensive security / autonomous pentesting) |  Swimlane AI SOC (Intelligent Deep Agents on Turbine) |
|---|---|---|
| Vendor | RunSybil | Swimlane |
| HQ | United States · North America | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security |
| Summary | 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. | Swimlane's AI SOC product, built on its Turbine automation platform, uses autonomous 'deep agents' to plan and run alert investigations, with explainable decisions, auditable actions and AI-generated plans that analysts can review and turn into playbooks. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, appsec, vulnerability management | security operations, alert triage, case investigation, incident response, workflow automation |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://swimlane.com/product/ai-soc/ |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.runsybil.com/solutions/autonomous-penetration-testing | https://swimlane.com/product/ai-soc/ |
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with RunSybil Sybil (AI offensive security / autonomous pentesting) or Swimlane AI SOC (Intelligent Deep Agents on Turbine). Open a pair page or the use-case table — this is not a ranking.
- ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) — AI agents inside ManageEngine's Log360 Cloud SIEM: an Investigation Agent that runs multi-stage alert investigations and writes an investigation report, prebuilt Alert Correlation and User Activity Review agents, and a no-code Agent Studio for custom SOC agents. · ManageEngine Log360 Cloud Zia Agents (Investigation, Alert Correlation and User Activity Review agents) pair comparison
- Securonix Sam, the AI SOC Analyst (Agentic Mesh) — An AI SOC analyst built into the Securonix Unified Defense SIEM that triages, correlates and enriches alerts, writes investigation summaries and prepares cases, coordinated by the Agentic Mesh of specialized agents under human approval. · Securonix Sam, the AI SOC Analyst (Agentic Mesh) pair comparison
- Simbian AI Pentest Agent — An autonomous AI agent for on-demand, ongoing penetration testing that adapts its testing logic in real time and focuses findings on each customer's business context, developed with LRQA's pentesting methodology. · Simbian AI Pentest Agent pair comparison
Use-case comparisons
- AI SOC and security-analyst agents — 29 listings (Security operations, alert investigation and threat detection)
- Agentic pentesting AI agents — 13 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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