Aikido Attack AI Pentesting vs Qevlar AI
Aikido Attack AI Pentesting (Aikido Security) and Qevlar AI (Qevlar AI) are both listed in the Security category of Agent Index. They share no framework tags in our dataset.
| Field |  Aikido Attack AI Pentesting |  Qevlar AI |
|---|---|---|
| Vendor | Aikido Security | Qevlar AI |
| HQ | Belgium · Europe | France · Europe |
| Primary category | Security | Security |
| Also listed in | Security, Code security | Security |
| Summary | Belgian autonomous AI pentest: many agents map the app, test attack paths and re-exploit each finding to confirm it, with a same-day audit-grade report. | Autonomous AI SOC platform that triages, enriches and investigates security alerts across SIEM/XDR, EDR and other tools and returns a documented verdict for analysts. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | pen test management, appsec, attack surface, vulnerability management | security operations, alert triage, incident response, threat detection |
| Pricing (as published) | Published: aikido.dev/pricing lists a free Developer tier and paid tiers that include monthly credits (for example 100 or 200 per month) usable for AI pentesting, plus a separate Pentest pricing tab. Check the vendor page for current amounts. | Not published |
| Pricing model | published-tiers | quote |
| Primary source | https://www.aikido.dev/attack/aipentest | https://www.qevlar.com/faq |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.aikido.dev/attack/aipentest | https://www.qevlar.com/ |
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 Aikido Attack AI Pentesting or Qevlar AI. Open a pair page or the use-case table — this is not a ranking.
- Attic IVON (Agentic MDR for Microsoft 365) — Dutch AI SOC agent for Microsoft 365 SMBs that triages, investigates and contains identity alerts across Defender, Sentinel and Entra ID with human sign-off. · Attic IVON (Agentic MDR for Microsoft 365) pair comparison
- Datadog Bits AI Security Analyst — AI agent in Datadog Cloud SIEM that autonomously investigates security signals and returns evidence-backed Benign or Suspicious verdicts. · Datadog Bits AI Security Analyst pair comparison
- Google Security Operations Triage and Investigation Agent — AI agent in Google Security Operations that autonomously investigates SIEM alerts and returns a verdict, confidence score, timeline and next steps. · Google Security Operations Triage and Investigation Agent pair comparison
- Microsoft Security Copilot Phishing Triage Agent (Defender) — Security Copilot agent in Microsoft Defender that autonomously triages user-reported phishing, resolves false positives and explains each verdict. · Microsoft Security Copilot Phishing Triage Agent (Defender) pair comparison
- Reliance Cyber RADAR — UK agentic MDR platform on Google Security Operations with specialist AI agents for detection engineering, triage, response and self-healing, under human oversight. · Reliance Cyber RADAR pair comparison
- Synack Sara AI Pentesting — Synack's Autonomous Red Agent (Sara) for agentic pentesting, with exploitable findings validated by the Synack Red Team. · Synack Sara AI Pentesting pair comparison
- WedgeX AI SOC Agent — Australian AI SOC agent that enriches, investigates and recommends escalate/close actions on alerts, proposing containment for human approval. · WedgeX AI SOC Agent pair comparison
Use-case comparisons
- AI SOC and security-analyst agents — 26 listings (Security operations, alert investigation and threat detection)
- Agentic pentesting AI agents — 12 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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