Beelzebub Arcangelo vs Fleuret agentic AI pentesting
Quick answer
Beelzebub Arcangelo (IASM/EASM with agentic penetration testing) (Beelzebub (Beelzebub S.r.l.)) 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.
Beelzebub Arcangelo (IASM/EASM with agentic penetration testing) (Beelzebub (Beelzebub S.r.l.)) 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.
| Field | ||
|---|---|---|
| Vendor | Beelzebub (Beelzebub S.r.l.) | Fleuret (FLEURET AI SAS) |
| HQ | Italy · Europe | France · Europe |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| Summary | Italian AI-native offensive platform product: Arcangelo continuously maps internal and external attack surfaces, then runs adaptive multi-stage agentic penetration tests that plan and pivot like an attacker, with potentially intrusive exploitation kept human-approved and auditable. | 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) | ISO 27001 | — |
| Capabilities / tasks | pen test management, attack surface, exposure management, threat intelligence | pen test management, attack surface, vulnerability management, exposure management |
| Pricing (as published) | Not 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. |
| Pricing model | quote | published-tiers |
| Primary source | https://beelzebub.ai/products/arcangelo/ | https://fleuret.ai/platform |
| Last checked | 2026-10-20 | 2026-10-20 |
| Official site | https://beelzebub.ai/products/arcangelo/ | https://fleuret.ai/ |
FAQ (from this dataset)
What is the difference between Beelzebub Arcangelo and Fleuret agentic AI pentesting?
Both are listed under Security. Shared tasks: pen-test-management, attack-surface, exposure-management. Beelzebub Arcangelo-only tasks: threat-intelligence. Fleuret agentic AI pentesting-only tasks: vulnerability-management. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Beelzebub Arcangelo (IASM/EASM with agentic penetration testing): 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 Beelzebub Arcangelo and Fleuret agentic AI pentesting headquartered?
Beelzebub Arcangelo (IASM/EASM with agentic penetration testing) publishes HQ in Italy. Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France.
Also in this use case
Other verified listings that share a task tag or use-case group with Beelzebub Arcangelo (IASM/EASM with agentic penetration testing) 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.
- 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
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status. · SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) 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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