Fleuret agentic AI pentesting vs Vulnetic Sable
Quick answer
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) and Vulnetic Sable (AI pentesting agent) (Vulnetic (Vulnetic Inc.)) are both listed in the Security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) and Vulnetic Sable (AI pentesting agent) (Vulnetic (Vulnetic Inc.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) |  Vulnetic Sable (AI pentesting agent) |
|---|---|---|
| Vendor | Fleuret (FLEURET AI SAS) | Vulnetic (Vulnetic Inc.) |
| HQ | France · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| Summary | Paris-based agentic pentesting platform in which the Émile orchestrator coordinates 12-60 specialist attack agents (auth bypass, IDOR, injection chains, business logic, privilege escalation) against web apps and APIs, reports only findings proven with a replayable proof of concept, and re-tests fixes, with EU-sovereign hosting. | Agentic pentesting agent for internal security teams and MSSPs. Sable plans and executes authorised tests against web applications, APIs, internal networks and Active Directory, runs real tools, proves impact with reproducible evidence and exploit traces, and supports targeted retests after remediation; teams steer it in plain language and can approve every command or let it run fully autonomously. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, vulnerability management, exposure management | pen test management, vulnerability management |
| Pricing (as published) | Published on fleuret.ai: free organisation plan (scanners only, 2 users, 10 repositories); one-off pentest EUR 4,000 per web app; contract covering every app on quote. | Not published on the pages we could read on 2026-10-21 (check the vendor pricing section) |
| Pricing model | published-tiers | quote |
| Primary source | https://fleuret.ai/platform | https://www.vulnetic.ai/ai-pentesting-agent |
| Last checked | 2026-10-20 | 2026-10-21 |
| Official site | https://fleuret.ai/ | https://www.vulnetic.ai/ai-pentesting-agent |
FAQ (from this dataset)
What is the difference between Fleuret agentic AI pentesting and Vulnetic Sable?
Both are listed under Security. Shared tasks: pen-test-management, vulnerability-management. Fleuret agentic AI pentesting-only tasks: attack-surface, exposure-management. Vulnetic Sable-only tasks: none. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs): Published on fleuret.ai: free organisation plan (scanners only, 2 users, 10 repositories); one-off pentest EUR 4,000 per web app; contract covering every app on quote. Vulnetic Sable (AI pentesting agent): Not published on the pages we could read on 2026-10-21 (check the vendor pricing section)
Where are Fleuret agentic AI pentesting and Vulnetic Sable headquartered?
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France. Vulnetic Sable (AI pentesting agent) publishes HQ in United States.
Also in this use case
Other verified listings that share a task tag or use-case group with Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) or Vulnetic Sable (AI pentesting agent). 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
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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