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Responsible Disclosure (AI)

Reviewed 19 July 2026 Canonical definition Part of: Agent Orchestration & Workflow Terms →

Responsible disclosure for AI is the practice of reporting discovered vulnerabilities in AI systems, such as prompt injection flaws, MCP server weaknesses, or agent authentication bypasses, to the affected organisation privately before publishing them, giving the organisation time to remediate. It is the AI equivalent of the coordinated vulnerability disclosure practices established in traditional cybersecurity.

§01 / QUESTIONSterm: Responsible Disclosure (AI)
Questions

Common questions.

What is Responsible Disclosure (AI)?

Responsible disclosure for AI is the practice of reporting discovered vulnerabilities in AI systems, such as prompt injection flaws, MCP server weaknesses, or agent authentication bypasses, to the affected organisation privately before publishing them, giving the organisation time to remediate.

How does Responsible Disclosure (AI) work?

It is the AI equivalent of the coordinated vulnerability disclosure practices established in traditional cybersecurity.

Which terms are related to Responsible Disclosure (AI)?

Closely related concepts include Multi-Agent System, Sybil Attack (Multi-Agent), Agent Delegation, Agent Framework. Each is defined in the Prefactor glossary.

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Where this fits.

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