Fleuret agentic AI pentesting vs Opal Paladin
Quick answer
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) (Fleuret (FLEURET AI SAS)) and Opal Paladin (Opal Security) 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 Opal Paladin (Opal Security) 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) |  Opal Paladin |
|---|---|---|
| Vendor | Fleuret (FLEURET AI SAS) | Opal Security |
| HQ | France · Europe | United States · North America |
| Primary category | Security | Security |
| Also listed in | Security | Security |
| 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. | AI identity agent in Opal that reviews access requests, investigates context and approves, denies or escalates with recorded reasoning. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, attack surface, vulnerability management, exposure management | identity governance, access reviews |
| 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 for Paladin. |
| Pricing model | published-tiers | quote |
| Primary source | https://fleuret.ai/platform | https://docs.opal.dev/docs/paladin/access-request |
| Last checked | 2026-10-20 | 2026-10-18 |
| Official site | https://fleuret.ai/ | https://docs.opal.dev/docs/paladin/access-request |
FAQ (from this dataset)
What is the difference between Fleuret agentic AI pentesting and Opal Paladin?
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. Opal Paladin-only tasks: identity-governance, access-reviews. 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. Opal Paladin: Not published for Paladin.
Where are Fleuret agentic AI pentesting and Opal Paladin headquartered?
Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) publishes HQ in France. Opal Paladin 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 Opal Paladin. 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.
- Cakewalk Agent Cake (AI agent for SaaS access provisioning, deprovisioning and conversational access requests) — Berlin identity-governance vendor's AI agent: once access is approved under the customer's policies, Agent Cake provisions seats in supported apps on the admin's behalf, removes all accounts during offboarding, and lets employees request access conversationally in Slack, inside a platform that discovers apps and AI agents beyond SSO. · Cakewalk Agent Cake (AI agent for SaaS access provisioning, deprovisioning and conversational access requests) pair comparison
- 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
Use-case comparisons
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
- Identity governance AI agents — 8 listings (Identity governance, access reviews and Conditional Access coverage)
Related
- Fleuret agentic AI pentesting (Émile multi-agent orchestrator for web apps and APIs) alternatives
- Opal Paladin alternatives
- Best security AI agents
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