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.
| Field | ||
|---|---|---|
| Vendor | Fleuret (FLEURET AI SAS) | Wolfia (Wolfia Inc.) |
| HQ | France · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security, 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 management | questionnaire 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-tiers | quote |
| Primary source | https://fleuret.ai/platform | https://wolfia.com/products/questionnaire-automation |
| Last checked | 2026-10-20 | 2026-10-18 |
| 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.
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.
- 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.
- ClearContract contract agents (intake, review and deadline-monitoring agents that file, risk-check and watch incoming contracts) — Contract-management platform from Aarhus-based ClearContract ApS built around AI agents that work in the background. Contracts arriving by email are picked up by an intake agent that files them, extracts key terms and assigns the counterparty; a review agent checks each one against the company's own checklist, flags risks with clause citations and creates tasks; agents also watch renewals and deadlines. Nothing is signed, sent or committed without human approval.
- Covasant TPRM (agentic third-party risk management) — Third-party risk product from Hyderabad-headquartered Covasant. Purpose-built AI agents onboard vendors through due-diligence workflows, chase vendors who are slow to respond, keep watching news, sanctions and financial data, and, when risk thresholds break, open remediation workflows, track vendor responses, escalate unresolved issues and produce DORA, SOX and NIST reporting packages.
- 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
- trail Governance Agents (GRC and AI governance agents) — Munich-based trail's Governance Agents run GRC busywork in the background: they read your project files and sources to collect and link evidence, assess controls, classify systems, run risk and vendor assessments and draft policies, proposing changes that a human approves before anything is written.
Use-case comparisons
- Contract and legal-review AI agents — 33 listings (Contract review, drafting assistance and legal workflow automation)
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- TPRM and vendor-risk AI agents — 40 listings (Third-party risk, vendor assessments, security ratings and questionnaire automation)
- Security questionnaire AI agents — 10 listings (Inbound security questionnaires, SIG/CAIQ-style responses and questionnaire automation)
Related
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