Escape (AI pentesting and DAST) vs GitHub Copilot Autofix
Escape (AI pentesting and DAST) (Escape) 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 |  Escape (AI pentesting and DAST) |  GitHub Copilot Autofix |
|---|---|---|
| Vendor | Escape | GitHub |
| HQ | France · Europe | United States · North America |
| Primary category | Code security | Code security |
| Also listed in | Code security, Security | Code security, Security |
| Summary | Offensive security platform using AI agents for attack surface discovery, business-logic DAST and multi-agent pentesting (Cascade) of APIs and web apps. | 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, pen test management, attack surface | appsec, sast, remediation, vulnerability management, pr review |
| Pricing (as published) | Quote-based | 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://escape.tech/blog/introducing-cascade-the-multi-agent-penetration-testing/ | 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://escape.tech/ | 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 Escape (AI pentesting and DAST) or GitHub Copilot Autofix. Open a pair page or the use-case table — this is not a ranking.
- Equixly Agentic AI Hacker (continuous API pentesting) — Italian offensive-security platform whose agentic AI hacker continuously maps APIs and applications, chains API interactions to find exploitable flaws, and validates findings for remediation.
- Ethiack Hackian (agentic AI pentesting) — Portuguese autonomous pentesting platform: the Hackian agentic AI maps the attack surface, runs exploitation routines, chains attack paths and delivers proof-of-exploit with compliance-ready reports.
- Hadrian Nova (agentic pentesting) — On-demand penetration testing run by a fleet of AI hacker agents, paired with Hadrian Atlas for continuous external exposure management.
- Horizon3.ai NodeZero (autonomous pentesting) — Autonomous pentesting platform that runs unlimited self-directed internal, external, cloud, Kubernetes and AD pentests, plans attack paths, guides remediation and re-tests to verify fixes.
- Intruder AI Pentesting — On-demand, code-aware web-app pentesting by AI agents built by Intruder's CREST-certified testers, with audit-ready reports in hours and issue-level 'micro pentests' to triage scanner findings.
- Pixee (automated triage and fix) — Security 'harness' that triages SAST/SCA/DAST/secrets findings for exploitability, opens fix pull requests with the analysis attached, works inside coding agents, and builds design-stage threat models. · Pixee (automated triage and fix) pair comparison
- Qodo multi-agent code review — 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. · Qodo multi-agent code review pair comparison
- Xygeni DevAI and CoreAI (agentic AppSec) — 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. · Xygeni DevAI and CoreAI (agentic AppSec) pair comparison
- ZeroPath (AI-native SAST and autofix) — AI-native AppSec platform that finds business-logic and auth flaws, validates findings from existing SAST tools, runs PR security reviews and generates one-click patches refined in natural language. · ZeroPath (AI-native SAST and autofix) pair comparison
Use-case comparisons
- AI code security agents — 17 listings (Application security scanning, suggested or automated code fixes, and pull-request security review)
- Agentic pentesting AI agents — 6 listings (Autonomous or AI-assisted penetration testing, attack-surface testing and exploitable-path verification)
Related
- Escape (AI pentesting and DAST) alternatives
- GitHub Copilot Autofix alternatives
- Best code security AI agents
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