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Automatiqa Lab - open-source experiments where operations meet the algorithm

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Security Policy

This policy covers every Automatiqa Lab repository that does not carry its own SECURITY.md. Where a repository has one, that file takes precedence.

Automatiqa Lab publishes open-source code and templates. The lab operates no service, hosts no instance and receives no data: everything runs inside the deployer's own boundary. Vulnerability reports are taken seriously all the same.

Reporting a vulnerability

Please report privately - do not open a public issue for a security problem.

  • Preferred: open a private advisory via GitHub Security Advisories ("Report a vulnerability" on the repository's Security tab).
  • Or email aleks@automatiqa.io.

Include the repository, what you found, how to reproduce it, the impact, and any suggested fix. If you have a proof of concept, attach it.

Expect acknowledgement within 3 business days, and a disclosure timeline agreed with you. Credit is given unless you prefer otherwise.

Supported versions

Lab projects are pre-1.0 unless their README says otherwise. Fixes land on main and in the next release; older tags are not patched.

Scope

In scope:

  • Prompt injection in an input document or message that changes a decision, alters stored records, or causes data to be sent anywhere other than the configured endpoints
  • Any path that bypasses an approval gate or lets an agent act without the recorded approval the project says it needs
  • Secrets recoverable from logs, error messages, exported workflows or other artefacts
  • Missing or strippable AI-generated marking where a project's COMPLIANCE.md says it applies

Out of scope:

  • The security of the language model endpoint you configure and hold the key for
  • Vulnerabilities in upstream components (Python packages, n8n, databases, model providers) - report those upstream, though a note here is appreciated if the combination is what makes it exploitable
  • Findings that require an attacker to already hold deployer credentials
  • Reports produced solely by an automated scanner with no demonstrated impact

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Automatiqa Lab - open-source experiments where operations meet the algorithm

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