Black Duck Signal (agentic AI AppSec) vs Qodo multi-agent code review
Quick answer
Black Duck Signal (agentic AI AppSec) (Black Duck) and Qodo multi-agent code review (Qodo (Codium Ltd.)) are both listed in the Code security category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
Black Duck Signal (agentic AI AppSec) (Black Duck) and Qodo multi-agent code review (Qodo (Codium Ltd.)) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.
| Field |  Black Duck Signal (agentic AI AppSec) |  Qodo multi-agent code review |
|---|---|---|
| Vendor | Black Duck | Qodo (Codium Ltd.) |
| HQ | United States · North America | Israel · Middle East |
| Primary category | Code security | Code security |
| Also listed in | Code security, Security | Code security |
| Summary | Agentic AI application security tool (GA March 2026) with role- and task-based agents that analyse new code in any language, filter findings by exploitability and apply verified fixes, callable from Claude Code, Gemini and GitHub Copilot via MCP. | Agentic pull-request review platform (formerly CodiumAI) that flags bugs, security issues and rule violations with organisational context. A general code reviewer, not a dedicated SAST scanner. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | appsec, sast, remediation, vulnerability management | pr review, appsec, code quality |
| Pricing (as published) | Not published | Free 14-day trial. Pro Team plan (designed for up to 30 users) is listed from $30 on qodo.ai/pricing with pooled credit packs at $0.012 per credit (for example 2,500 credits ≈ 18 reviews/month); Enterprise (30+ users, SSO, on-prem, BYOK) is custom. Confirm the billing unit on the vendor page. |
| Pricing model | quote | published-tiers |
| Primary source | https://www.blackduck.com/signal-ai-appsec.html | https://www.qodo.ai/products/qodo-merge/ |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.blackduck.com/signal-ai-appsec.html | https://www.qodo.ai/products/qodo-merge/ |
FAQ (from this dataset)
What is the difference between Black Duck Signal and Qodo multi-agent code review?
Both are listed under Code security. Shared tasks: appsec. Black Duck Signal-only tasks: sast, remediation, vulnerability-management. Qodo multi-agent code review-only tasks: pr-review, code-quality. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Black Duck Signal (agentic AI AppSec): Not published Qodo multi-agent code review: Free 14-day trial. Pro Team plan (designed for up to 30 users) is listed from $30 on qodo.ai/pricing with pooled credit packs at $0.012 per credit (for example 2,500 credits ≈ 18 reviews/month); Enterprise (30+ users, SSO, on-prem, BYOK) is custom. Confirm the billing unit on the vendor page.
Where are Black Duck Signal and Qodo multi-agent code review headquartered?
Black Duck Signal (agentic AI AppSec) publishes HQ in United States. Qodo multi-agent code review publishes HQ in Israel.
Also in this use case
Other verified listings that share a task tag or use-case group with Black Duck Signal (agentic AI AppSec) or Qodo multi-agent code review. 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
Use-case comparisons
- AI code security agents — 33 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
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