Black Duck Signal (agentic AI AppSec) vs GitHub Copilot Autofix
Black Duck Signal (agentic AI AppSec) (Black Duck) and GitHub Copilot Autofix (GitHub) are both listed in the Code security category of Agent Index. They share no framework tags in our dataset.
| Field | ||
|---|---|---|
| Vendor | Black Duck | GitHub |
| 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. | LLM-generated suggested fixes for GitHub code-scanning alerts (CodeQL). Part of GitHub Code Security / Advanced Security; no separate Copilot subscription is required. |
| Framework tags (Agent Index) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | appsec, sast, remediation, vulnerability management | appsec, sast, remediation, vulnerability management, pr review |
| Pricing (as published) | Not published | Included with GitHub Code Security. Public repositories: available at no extra Code Security licence. Private/internal repositories: GitHub Code Security is published at $30 USD per active committer/month on github.com/security/plans. Not a Copilot seat add-on; GitHub docs say no Copilot subscription is required. |
| Pricing model | quote | freemium |
| Primary source | https://www.blackduck.com/signal-ai-appsec.html | https://docs.github.com/en/code-security/concepts/code-scanning/autofix-for-code-scanning |
| Last checked | 2026-10-18 | 2026-10-18 |
| Official site | https://www.blackduck.com/signal-ai-appsec.html | https://docs.github.com/en/code-security/concepts/code-scanning/autofix-for-code-scanning |
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 GitHub Copilot Autofix. Open a pair page or the use-case table — this is not a ranking.
- Abnormal AI Security Mailbox (Abnormal AI for Government) — Autonomous agent for email security operations that triages user-reported emails, removes related malicious campaign messages across the organisation and replies to reporters; included in Abnormal AI for Government, which is FedRAMP and GovRAMP Moderate authorized.
- 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
- Patrowl Agentic AI Penetration Testing — Continuous external pentesting in which Patrowl's AI agents correlate assets, threats and past evidence, choose the next test step every day, and route every finding through a certified pentester before it reaches you.
- 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.
- SAFE TPRM AI Co-Worker — Agentic third-party risk management: a swarm of 100+ specialised agents runs the vendor lifecycle from intake and due diligence through remediation, continuous monitoring and offboarding.
- Upwind AI Agentic Pack (Choppy, Blue, Red and Green agents) — Specialised AI agents inside Upwind's runtime-first cloud security platform: Blue investigates threats to a verdict, Red proves which risks are exploitable, Green finds root-cause fixes and opens PRs, coordinated by Choppy.
- Workiva Agent Studio (finance, audit and GRC agents) — No-code agent builder and prebuilt agents on Workiva's reporting, audit and GRC platform, used for finance tie-outs and roll-forwards and for evidence collection, control testing and remediation, with configurable review and approval steps.
- 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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