Fleuret agentic AI pentesting vs Wolfia Questionnaire Agent

Quick answer

Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) and Wolfia Questionnaire Agent (security questionnaires and trust center) (Wolfia (Wolfia 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 Wolfia Questionnaire Agent (security questionnaires and trust center) (Wolfia (Wolfia Inc.)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Field Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs)Wolfia Questionnaire Agent (security questionnaires and trust center)
Vendor Fleuret (FLEURET AI SAS)Wolfia (Wolfia Inc.)
HQ France · EuropeUnited States · North America
Primary category SecuritySecurity
Also listed in SecuritySecurity, Compliance, Risk
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.Security-questionnaire agent that drafts every answer with a citation from the company's own corpus, routes ungrounded questions to the owning expert, returns the file in its original format, and fills portal-only questionnaires via a Chrome extension.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks pen test management, attack surface, vulnerability management, exposure managementquestionnaire automation, trust center, contract review
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
Pricing model published-tiersquote
Primary source https://fleuret.ai/platformhttps://wolfia.com/products/questionnaire-automation
Last checked 2026-10-202026-10-18
Official site https://fleuret.ai/https://wolfia.com/products/questionnaire-automation

FAQ (from this dataset)

What is the difference between Fleuret agentic AI pentesting and Wolfia Questionnaire Agent?

Both are listed under Security. They share no task tags in this dataset. Fleuret agentic AI pentesting-only tasks: pen-test-management, attack-surface, vulnerability-management, exposure-management. Wolfia Questionnaire Agent-only tasks: questionnaire-automation, trust-center, contract-review. 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. Wolfia Questionnaire Agent (security questionnaires and trust center): Not published

Where are Fleuret agentic AI pentesting and Wolfia Questionnaire Agent headquartered?

Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France. Wolfia Questionnaire Agent (security questionnaires and trust center) publishes HQ in United States.

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 Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) or Wolfia Questionnaire Agent (security questionnaires and trust center). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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