Black Duck Signal (agentic AI AppSec) vs Qodo multi-agent code review
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 | ||
|---|---|---|
| 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. |
| Framework tags (Agent Index) | — | — |
| 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/ |
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 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.
- AWS Continuum for penetration testing (formerly AWS Security Agent) — AWS frontier agent (formerly AWS Security Agent) that runs on-demand penetration tests of your applications with tailored multi-step attack scenarios, reproducible proof and ready-to-implement fixes, billed per task-hour.
- Endor Labs security agents (agentic triage and remediation) — Pre-built AppSec agents that read Endor findings against your source, write SAST fixes or file exceptions, pick safe dependency upgrades and open PRs, and answer malware-exposure and CI/CD posture questions inside your coding agents. · Endor Labs security agents (agentic triage and remediation) pair comparison
- HCL AppScan RapidFix — Agentic AI triage and auto-fix for SAST findings in HCL AppScan: an LLM pass reviews each finding's accuracy and severity, filters false positives, and a deterministic codemod framework writes fixes in repos and pull requests. · HCL AppScan RapidFix pair comparison
- RunSybil Sybil (AI offensive security / autonomous pentesting) — AI offensive security platform whose agents run black- or white-box autonomous pentests, chain vulnerabilities across code, APIs, cloud and infrastructure, reproduce every finding, and re-test on each deployment.
- YesWeHack Agentic Pentest — On-demand pentests of external attack surface run by AI agents shaped by YesWeHack's bug-hunting expertise, with dedicated verification agents, a Pentest Manager, same-day results and reports in its vulnerability-management platform.
Use-case comparisons
- AI code security agents — 20 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
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