Black Duck Signal (agentic AI AppSec) vs Cursor Bugbot
Quick answer
Black Duck Signal (agentic AI AppSec) (Black Duck) and Cursor Bugbot (Anysphere) 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 Cursor Bugbot (Anysphere) 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) |  Cursor Bugbot |
|---|---|---|
| Vendor | Black Duck | Anysphere |
| HQ | United States · North America | United States · North America |
| 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. | Cursor’s AI pull-request reviewer. Official docs say it identifies bugs, security issues and code-quality problems and comments with explanations and suggested fixes. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | appsec, sast, remediation, vulnerability management | pr review, appsec, remediation |
| Pricing (as published) | Not published | Usage-based on Individual and Teams plans; no separate Bugbot subscription. Cursor’s Bugbot page states Individual plans use included usage first, Teams bill from on-demand usage, and the average review costs $1.00–$1.50 depending on PR size. Enterprise trials are arranged with the account team. |
| Pricing model | quote | published-tiers |
| Primary source | https://www.blackduck.com/signal-ai-appsec.html | https://cursor.com/docs/bugbot |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.blackduck.com/signal-ai-appsec.html | https://cursor.com/docs/bugbot |
FAQ (from this dataset)
What is the difference between Black Duck Signal and Cursor Bugbot?
Both are listed under Code security. Shared tasks: appsec, remediation. Black Duck Signal-only tasks: sast, vulnerability-management. Cursor Bugbot-only tasks: 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 Cursor Bugbot: Usage-based on Individual and Teams plans; no separate Bugbot subscription. Cursor’s Bugbot page states Individual plans use included usage first, Teams bill from on-demand usage, and the average review costs $1.00–$1.50 depending on PR size. Enterprise trials are arranged with the account team.
Where are Black Duck Signal and Cursor Bugbot headquartered?
Black Duck Signal (agentic AI AppSec) publishes HQ in United States. Cursor Bugbot publishes HQ in United States.
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 Cursor Bugbot. 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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