Agentmetry vs ZenVeil
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Agentmetry compared with ZenVeil
| Detail |
Agentmetry |
ZenVeil |
| What it does | Open-source security for AI coding agents
| Security scanner for AI-generated code that catches secrets, CVEs, and OWASP vulnerabilities in under 30 seconds and auto-fixes with GitHub PRs
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| Stage | Not given
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| Founded | Not given
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| Based in | GR
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| Pricing model | Open source
| Freemium
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| Pricing | Open-source sensor is free. Enterprise pilot for up to 25 developer seats starts with a 90-day design-partner pilot, scoped with you.
| Free tier for public repositories with 3 scans per hour; paid plans available for private repositories and higher scan limits
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| Key features | - Records tool calls from Claude Code, Cursor, Codex, GitHub Copilot and other agents
- Detects risky sequences and agent behavior patterns
- Forwards to SIEM: Splunk, Elastic, Microsoft Sentinel, Google SecOps
- MCP server scanning to detect risky or malicious integrations
- Works on Windows, Linux and macOS without kernel driver
- DLP integration to prevent credential and sensitive data exfiltration
- 0 false positives across 57 test cases with MITRE ATT&CK coverage
| - Secret detection with 200+ credential patterns
- CVE vulnerability scanning via OSV.dev
- OWASP Top 10 coverage
- Automated GitHub PR remediation
- AI-powered fix explanations
- Supply chain security analysis
- API security scanning
- CLI and CI/CD integration
- Read-only ephemeral scanning
- Scans complete in under 30 seconds
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| What makes it different | - Hash-chained records can be verified offline, catching any tampering or editing attempts
- Sees which AI agent ran the command and the session it belongs to, unlike EDR tools
- No account required, no telemetry sent until you configure a sink
- Single maintainer, self-funded, built in public with no hidden development
- All claims on the website verifiable by running commands on your own machine
| - Tuned detection rules for AI-generated code failure modes rather than generic vulnerability patterns
- Specific vulnerability detection for each major AI coding tool including Copilot, Cursor, and Claude
- Automated remediation with GitHub PR creation requiring no manual triage
- Full scans in under 30 seconds with code never stored or used for training
- Fills security gaps that existing tools like Snyk and Semgrep were not designed for
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 36 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 5 | 1 |
| Citation Flow (Majestic) | 18 | 13 |
| Referring domains (Majestic) | 45 | 40 |
5 details filled in for both companies.
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