Black Duck Signal (agentic AI AppSec) vs Xygeni DevAI and CoreAI (agentic AppSec)
Quick answer
Black Duck Signal (agentic AI AppSec) (Black Duck) and Xygeni DevAI and CoreAI (agentic AppSec) (Xygeni Security) 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 Xygeni DevAI and CoreAI (agentic AppSec) (Xygeni Security) 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) |  Xygeni DevAI and CoreAI (agentic AppSec) |
|---|---|---|
| Vendor | Black Duck | Xygeni Security |
| HQ | United States · North America | Spain · Europe |
| Primary category | Code security | Code security |
| Also listed in | Code security, Security | Code security, 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 AppSec from Valladolid-based Xygeni: DevAI scans code in the IDE and generates validated fixes (including for AI-generated code), while CoreAI prioritises risk and orchestrates remediation PRs across the platform. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | appsec, sast, remediation, vulnerability management | appsec, sast, sca, secrets detection, remediation |
| Pricing (as published) | Not published | Free plan listed on xygeni.io/pricing; paid annual plans are priced by number of contributors and daily scans (amounts load dynamically and were not captured from the static page). |
| Pricing model | quote | freemium |
| Primary source | https://www.blackduck.com/signal-ai-appsec.html | https://xygeni.io/dev-ai |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.blackduck.com/signal-ai-appsec.html | https://xygeni.io/dev-ai |
FAQ (from this dataset)
What is the difference between Black Duck Signal and Xygeni DevAI and CoreAI?
Both are listed under Code security. Shared tasks: appsec, sast, remediation. Black Duck Signal-only tasks: vulnerability-management. Xygeni DevAI and CoreAI-only tasks: sca, secrets-detection. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
Black Duck Signal (agentic AI AppSec): Not published Xygeni DevAI and CoreAI (agentic AppSec): Free plan listed on xygeni.io/pricing; paid annual plans are priced by number of contributors and daily scans (amounts load dynamically and were not captured from the static page).
Where are Black Duck Signal and Xygeni DevAI and CoreAI headquartered?
Black Duck Signal (agentic AI AppSec) publishes HQ in United States. Xygeni DevAI and CoreAI (agentic AppSec) publishes HQ in Spain.
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 Xygeni DevAI and CoreAI (agentic AppSec). 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.
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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