Black Duck Signal vs CybeDefend Cybe AutoFix

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Black Duck Signal (agentic AI AppSec) (Black Duck) and CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests) (CybeDefend (CybeDefend SAS)) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.

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Black Duck Signal (agentic AI AppSec) CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests)

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Field	Black Duck Signal (agentic AI AppSec)	CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests)
Vendor	Black Duck	CybeDefend (CybeDefend SAS)
HQ	United States · North America	France · 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.	French AI code security platform (SAST, SCA, IaC, container and secret scanning) whose Cybe AutoFix agent reads the code graph, rewrites vulnerable lines or picks the safest dependency upgrade, tests the change in isolation and opens a bot-signed, CI-gated pull request for a human to merge.
Frameworks (vendor-stated)	—	—
Frameworks (vendor-claimed)	—	—
Capabilities / tasks	appsec, sast, remediation, vulnerability management	appsec, sast, sca, secrets detection, iac, remediation, pr review
Pricing (as published)	Not published	Free open-source Community edition and free trial; Cloud plans billed per developer and project (amounts not published); Enterprise on quote.
Pricing model	quote	freemium
Primary source	https://www.blackduck.com/signal-ai-appsec.html	https://www.cybedefend.com/en/cybe-autofix
Last checked	2026-10-18	2026-10-19
Official site	https://www.blackduck.com/signal-ai-appsec.html	https://www.cybedefend.com/en/cybe-autofix

FAQ (from this dataset)

What is the difference between Black Duck Signal and CybeDefend Cybe AutoFix?

Both are listed under Code security. Shared tasks: appsec, sast, remediation. Black Duck Signal-only tasks: vulnerability-management. CybeDefend Cybe AutoFix-only tasks: sca, secrets-detection, iac, pr-review. Differences are from stored category and task tags, not a ranking.

Which one publishes pricing?

Black Duck Signal (agentic AI AppSec): Not published CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests): Free open-source Community edition and free trial; Cloud plans billed per developer and project (amounts not published); Enterprise on quote.

Where are Black Duck Signal and CybeDefend Cybe AutoFix headquartered?

Black Duck Signal (agentic AI AppSec) publishes HQ in United States. CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests) publishes HQ in France.

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 CybeDefend Cybe AutoFix (AI code security agent that opens tested fix pull requests). 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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