Plerion Pleri (AI security engineer) vs RunSybil Sybil (AI offensive security / autonomous pentesting)
Plerion Pleri (AI security engineer) (Plerion) 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 |  Plerion Pleri (AI security engineer) |  RunSybil Sybil (AI offensive security / autonomous pentesting) |
|---|---|---|
| Vendor | Plerion | RunSybil |
| HQ | Australia · Australia and New Zealand | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, Code security |
| Summary | Sydney-based cloud and AI security platform with Pleri, an agent that investigates findings, checks real exploitability, raises fix PRs and Jira tickets, and follows each change through to merge. | 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. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | cloud security, vulnerability management, remediation, exposure management | pen test management, attack surface, appsec, vulnerability management |
| Pricing (as published) | Published estimator on plerion.com/pricing: a fixed monthly Plerion bill set by combined monthly AWS/Azure/GCP spend (example shown: $100,000–$130,000 cloud bill → about $3,100–$3,700/month, USD), all capabilities and the agent included; 'Start free' option. | Not published |
| Pricing model | published-tiers | quote |
| Primary source | https://www.plerion.com/agents | https://www.runsybil.com/solutions/autonomous-penetration-testing |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.plerion.com/agents | https://www.runsybil.com/solutions/autonomous-penetration-testing |
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 Plerion Pleri (AI security engineer) or RunSybil Sybil (AI offensive security / autonomous pentesting). Open a pair page or the use-case table — this is not a ranking.
- AWS Continuum for penetration testing (formerly AWS Security Agent) — AWS frontier agent (formerly AWS Security Agent) that runs on-demand penetration tests of your applications with tailored multi-step attack scenarios, reproducible proof and ready-to-implement fixes, billed per task-hour. · AWS Continuum for penetration testing (formerly AWS Security Agent) pair comparison
- Black Duck Signal (agentic AI AppSec) — Agentic AI application security tool (GA March 2026) with role- and task-based agents that analyse new code in any language, filter findings by exploitability and apply verified fixes, callable from Claude Code, Gemini and GitHub Copilot via MCP.
- Endor Labs security agents (agentic triage and remediation) — Pre-built AppSec agents that read Endor findings against your source, write SAST fixes or file exceptions, pick safe dependency upgrades and open PRs, and answer malware-exposure and CI/CD posture questions inside your coding agents.
- HCL AppScan RapidFix — Agentic AI triage and auto-fix for SAST findings in HCL AppScan: an LLM pass reviews each finding's accuracy and severity, filters false positives, and a deterministic codemod framework writes fixes in repos and pull requests.
- Patrowl Agentic AI Penetration Testing — Continuous external pentesting in which Patrowl's AI agents correlate assets, threats and past evidence, choose the next test step every day, and route every finding through a certified pentester before it reaches you. · Patrowl Agentic AI Penetration Testing pair comparison
- Upwind AI Agentic Pack (Choppy, Blue, Red and Green agents) — Specialised AI agents inside Upwind's runtime-first cloud security platform: Blue investigates threats to a verdict, Red proves which risks are exploitable, Green finds root-cause fixes and opens PRs, coordinated by Choppy. · Upwind AI Agentic Pack (Choppy, Blue, Red and Green agents) pair comparison
- YesWeHack Agentic Pentest — On-demand pentests of external attack surface run by AI agents shaped by YesWeHack's bug-hunting expertise, with dedicated verification agents, a Pentest Manager, same-day results and reports in its vulnerability-management platform. · YesWeHack Agentic Pentest pair comparison
Use-case comparisons
- Agentic pentesting AI agents — 10 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- Cloud security (CNAPP) AI agents — 6 listings (Cloud and container security posture, exposure and remediation)
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