GitLab Duo Vulnerability Resolution vs Takumi byGMO security AI agent
Quick answer
GitLab Duo Vulnerability Resolution (GitLab) and Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing) (GMO Flatt Security (GMO Flatt Security株式会社)) are both listed in the Code security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
GitLab Duo Vulnerability Resolution (GitLab) and Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing) (GMO Flatt Security (GMO Flatt Security株式会社)) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.
| Field |  GitLab Duo Vulnerability Resolution |  Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing) |
|---|---|---|
| Vendor | GitLab | GMO Flatt Security (GMO Flatt Security株式会社) |
| HQ | United States · North America | Japan · Asia Pacific |
| Primary category | Code security | Code security |
| Also listed in | Code security, Security | Code security, Security |
| Summary | GitLab Duo features that explain SAST vulnerabilities and open merge requests with proposed AI remediations, including an agentic resolution flow. | Japanese security AI agent that continuously finds vulnerabilities with AI-SAST and AI-DAST (including logic, authentication and authorisation flaws), generates fix patches and opens pull requests with unit tests, and runs AI penetration tests that actually attempt intrusion to prove exploitability. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | ISO 27001 (ISMS certification, vendor claim) |
| Capabilities / tasks | appsec, sast, remediation, vulnerability management | appsec, sast, remediation, pr review, pen test management, vulnerability management |
| Pricing (as published) | Requires GitLab Ultimate and a GitLab Duo add-on (Duo Enterprise or Duo with Amazon Q per docs). GitLab.com Premium is published at $29 per user/month billed annually with included GitLab Credits; Ultimate is listed on about.gitlab.com/pricing without a public dollar amount (sales/credits). Confirm current Duo add-on prices with GitLab. | Published on flatt.tech/takumi: base fee JPY 70,000/month (excl. tax) including 250 credits shared across diagnosis, auto-fix and AI pentest, 15 Takumi Guard users and Runner minutes; overage JPY 280 per credit; a 30-day AI penetration test offer at JPY 980,000 (excl. tax, through end of 2026). |
| Pricing model | published-tiers | published-tiers |
| Primary source | https://docs.gitlab.com/user/application_security/remediate/duo/ | https://flatt.tech/takumi |
| Last checked | 2026-10-18 | 2026-10-20 |
| Official site | https://docs.gitlab.com/user/application_security/vulnerabilities/ | https://flatt.tech/takumi |
FAQ (from this dataset)
What is the difference between GitLab Duo Vulnerability Resolution and Takumi byGMO security AI agent?
Both are listed under Code security. Shared tasks: appsec, sast, remediation, vulnerability-management. GitLab Duo Vulnerability Resolution-only tasks: none. Takumi byGMO security AI agent-only tasks: pr-review, pen-test-management. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
GitLab Duo Vulnerability Resolution: Requires GitLab Ultimate and a GitLab Duo add-on (Duo Enterprise or Duo with Amazon Q per docs). GitLab.com Premium is published at $29 per user/month billed annually with included GitLab Credits; Ultimate is listed on about.gitlab.com/pricing without a public dollar amount (sales/credits). Confirm current Duo add-on prices with GitLab. Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing): Published on flatt.tech/takumi: base fee JPY 70,000/month (excl. tax) including 250 credits shared across diagnosis, auto-fix and AI pentest, 15 Takumi Guard users and Runner minutes; overage JPY 280 per credit; a 30-day AI penetration test offer at JPY 980,000 (excl. tax, through end of 2026).
Where are GitLab Duo Vulnerability Resolution and Takumi byGMO security AI agent headquartered?
GitLab Duo Vulnerability Resolution publishes HQ in United States. Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing) publishes HQ in Japan.
Also in this use case
Other verified listings that share a task tag or use-case group with GitLab Duo Vulnerability Resolution or Takumi byGMO security AI agent (AI-SAST/AI-DAST diagnosis, automatic fix pull requests and AI penetration testing). 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. · Amnify security agents (agent-driven code audit, AI pentesting, PR review and autofix pull requests) pair comparison
- 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.
Use-case comparisons
- AI code security agents — 33 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
- Agentic pentesting AI agents — 33 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
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