Fleuret agentic AI pentesting vs Optivalue.ai questionnaire agents
Quick answer
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) and Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection) (Optivalue.ai (Optivalue.ai SAS)) 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 Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection) (Optivalue.ai (Optivalue.ai SAS)) 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) |  Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection) |
|---|---|---|
| Vendor | Fleuret (FLEURET AI SAS) | Optivalue.ai (Optivalue.ai SAS) |
| HQ | France · Europe | France · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security, Risk, Business operations |
| 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. | French platform whose agents answer incoming security questionnaires, TISAX catalogues, DDQs and tenders from the customer's own evidence with document, page and version on every answer, score and gap-check the result and draft missing documents with the team before named sign-off, while its Reach product sends questionnaires to suppliers and chases non-responders automatically. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | TISAX, ISO 27001 |
| Capabilities / tasks | pen test management, attack surface, vulnerability management, exposure management | questionnaire automation, vendor risk, gap analysis |
| 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 (licence with an included quota of deliverables, by quote) |
| Pricing model | published-tiers | quote |
| Primary source | https://fleuret.ai/platform | https://www.optivalue.ai/en/security-questionnaire-automation/ |
| Last checked | 2026-10-20 | 2026-10-19 |
| Official site | https://fleuret.ai/ | https://www.optivalue.ai/en/security-questionnaire-automation/ |
FAQ (from this dataset)
What is the difference between Fleuret agentic AI pentesting and Optivalue.ai questionnaire agents?
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. Optivalue.ai questionnaire agents-only tasks: questionnaire-automation, vendor-risk, gap-analysis. 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. Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection): Not published (licence with an included quota of deliverables, by quote)
Where are Fleuret agentic AI pentesting and Optivalue.ai questionnaire agents headquartered?
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France. Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection) publishes HQ in France.
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 Optivalue.ai questionnaire agents (security questionnaires, TISAX and third-party collection). 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.
- 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
- 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)
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