AppOmni Marlin AI vs Fleuret agentic AI pentesting

Quick answer

AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation) (AppOmni) and Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET 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.

AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation) (AppOmni) and Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.

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Field AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation)Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs)
Vendor AppOmniFleuret (FLEURET AI SAS)
HQ United States · North AmericaFrance · Europe
Primary category SecuritySecurity
Also listed in SecuritySecurity
Summary US SaaS-security product whose Marlin AI engine autonomously correlates posture, identity and threat signals across SaaS and AI apps, opens investigations without a prompt, and delivers expert-guided remediation steps so teams can cut investigation and resolution time.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.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) FedRAMP, SOC 2, HIPAA, GDPR—
Capabilities / tasks alert triage, case investigation, security operations, identity governancepen test management, attack surface, vulnerability management, exposure management
Pricing (as published) Not publishedPublished 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.
Pricing model quotepublished-tiers
Primary source https://appomni.com/platform/marlin-ai-autonomous-security/https://fleuret.ai/platform
Last checked 2026-10-202026-10-20
Official site https://appomni.com/platform/marlin-ai-autonomous-security/https://fleuret.ai/

FAQ (from this dataset)

What is the difference between AppOmni Marlin AI and Fleuret agentic AI pentesting?

Both are listed under Security. They share no task tags in this dataset. AppOmni Marlin AI-only tasks: alert-triage, case-investigation, security-operations, identity-governance. Fleuret agentic AI pentesting-only tasks: pen-test-management, attack-surface, vulnerability-management, exposure-management. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation): Not published 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.

Where are AppOmni Marlin AI and Fleuret agentic AI pentesting headquartered?

AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation) publishes HQ in United States. Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France.

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 AppOmni Marlin AI (autonomous SaaS and agentic-AI risk investigation) or Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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