Build the workflow around one firm rule: an AI-generated finding is a lead, not proof. Do not disclose a vulnerability externally until an authorized human reviewer has assessed the claim and, where feasible, independently reproduced it. Then move it through documented intake, triage, private coordination, remediation, and a deliberate resolution decision.
Design the workflow as a sequence of accountable decisions
A useful vulnerability disclosure workflow makes clear who receives a report, who can validate it, who contacts affected parties, and who approves disclosure. Treat AI output as one input to that process; do not let a tool’s confidence, severity label, or polished report stand in for evidence.
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- Publish the policy and define scope. Specify what is covered, how to report, what testing is authorized, and how coordination and public disclosure are handled.
- Receive and track the report. Give reports a monitored route into a case record with an owner and a traceable history.
- Triage the claim. Separate observed behavior from generated explanations and determine whether the alleged issue is in scope and crosses a security boundary.
- Validate before external disclosure. Have a qualified human assess the claim and safely reproduce it where possible.
- Coordinate remediation. Contact affected maintainers or vendors privately through their stated intake paths and track the response.
- Decide and communicate resolution. Agree what can be shared, when, and with whom; preserve the decision and publish an advisory or other communication when appropriate.
These stages reflect the functions described in NIST SP 800-216, published in May 2023: receiving, assessing, managing, coordinating, and communicating vulnerability disclosures and mitigation or remediation. NIST presents a federal framework, not a universal legal requirement for every organization.
1. Publish scope, rules, and a usable reporting route
Write the policy so a reporter can tell before testing whether a target is covered and how to submit a sensitive finding. Keep the policy aligned with the organization’s current products and systems; a vague invitation to report bugs does not establish that every asset or test method is authorized.
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- Covered assets: Identify products, services, domains, components, and versions in scope, along with exclusions or boundaries.
- Authorized conduct: Explain permitted testing and prohibited actions, including any limits needed to protect user data or service availability.
- Intake: Provide a monitored security contact or private reporting channel, required report details, and a way to send sensitive evidence securely.
- Coordination: Describe how the organization acknowledges, assesses, and follows up on reports, and how public disclosure is considered.
- Other issue types: Distinguish technical vulnerabilities from model behavior, safety, or policy concerns when those use different reporting routes.
For U.S. federal civilian executive branch agencies, CISA’s BOD 20-01 required published vulnerability disclosure policies for internet-accessible systems and supporting processes. That directive is agency-specific; other organizations can use published policies and NIST guidance without implying that the directive binds them.
2. Receive the report into a traceable case
Assign each incoming report a case identifier, receipt timestamp, and named owner. A monitored inbox alone is not a workflow: the report needs a clear status and a person responsible for the next action. Keep communications and changes in status with the case so that handoffs do not erase context.
Use a private channel for unpatched sensitive issues unless the recipient’s policy or coordination circumstances support another route. Confirm receipt to the reporter when practical, identify any missing information, and avoid requesting unnecessary access to sensitive systems or data.
3. Triage the claim before treating it as a vulnerability
Read the report as a set of claims to test, not as a conclusion to accept. A generated explanation may describe what a tool inferred, while logs, requests, or observed outputs show what actually happened. Preserve that distinction in the case record.
Check whether the target is in scope and whether the alleged behavior crosses a security boundary. Capture the affected product or component and relevant version, the claimed impact, and uncertainty that could change the assessment. GitHub’s report-quality guidance emphasizes naming the affected component, describing the vulnerability, and explaining the security boundary; it also allows AI-assisted analysis as a starting point while placing responsibility for confirming reality and reproducibility on the submitter.
4. Require human validation before external disclosure
Before an organization or researcher releases a finding, assign a security engineer or other qualified reviewer to assess it independently. The reviewer should distinguish evidence from model-generated hypotheses, test whether the claimed behavior occurs, and determine whether it has security impact. OpenAI’s outbound coordinated disclosure policy, dated September 22, 2025, explicitly calls for peer review of findings from automated systems before release.
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Reproduce the behavior safely where feasible. Record the environment, relevant version, preconditions, and exact steps needed to observe the issue. A minimal proof of concept, logs, or a container or other reproduction aid can make a claim easier to assess, but do not include secrets, real user data, or exploit steps that exceed what is necessary to demonstrate the issue.
If the claim cannot be reproduced, document what was attempted and what remains unknown. Do not present an unverified model output as a confirmed vulnerability. Validation can result in a confirmed issue, a request for more evidence, a duplicate or out-of-scope report, or a finding that is not substantiated; record the rationale rather than relying on an unexplained label.
5. Coordinate with every affected maintainer
When validation identifies one or more affected parties, contact each through its stated security intake path and keep the issue private while coordination is underway. Track acknowledgments, follow-up questions, mitigation options, fix progress, and the person responsible for each next step.
Multi-vendor issues need explicit coordination: a fix or disclosure decision by one maintainer may affect the others. ISO/IEC 29147:2018 addresses vulnerability disclosure, including vendor disclosure and coordination; ISO/IEC 30111 addresses vulnerability handling processes. ISO identifies 29147:2018 as the current edition and says it was reviewed and confirmed in 2024. The standards are complementary, not interchangeable.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.6. Make disclosure timing and communication a recorded decision
Agree with affected parties on what can be published, when, and how reporters and affected users will be credited or informed. Do not treat one disclosure deadline as universal: policies vary. OpenAI’s outbound policy leaves timelines open-ended by default, while other programs may state their own expectations.
Record the agreed plan and any changes, including the reason for a delay or a decision to communicate before a fix is complete. An advisory or resolution notice should describe the affected product and issue accurately and avoid overstating what has been validated. Where public disclosure is not appropriate, communicate the resolution to the relevant parties through the agreed channel.
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7. Use a structured record that preserves evidence and decisions
A form or case template should capture enough information to reproduce the claim, manage the response, and explain the eventual decision. An AI-use field is a useful workflow choice, not a universal requirement established by the cited policies: those policies support human validation but do not mandate one standard disclosure field for AI assistance.
| Record field | What to capture |
|---|---|
| Scope and affected system | Product, component, version or commit range, affected assets, and why the reporter believes they are in scope. |
| Claimed security impact | Concise impact summary, alleged security boundary crossed, prerequisites, and attacker capability. |
| Evidence | Reproduction steps, proof of concept where safe, logs or other observations, environment details, and reproduction aids where feasible. |
| AI or automation assistance | Whether a tool assisted discovery or drafting, what it actually observed or generated, and what a human independently verified. |
| Assessment and ownership | Validation outcome, severity rationale, case owner, affected parties, and unresolved questions. |
| Coordination and resolution | Contact history, confidentiality, remediation state, disclosure decisions, and the final communication or reason none was issued. |
How to tell whether the workflow is usable
Review the process against operational questions, not just whether a policy document exists:
- Can a reporter identify in-scope targets and reach a monitored, private intake route?
- Can a reviewer distinguish what was observed from what an AI system inferred?
- Can the organization reproduce or assess a claim without unsafe testing or unnecessary exposure of sensitive data?
- Does every case have an owner, a traceable contact history, and a documented next action?
- Can the team coordinate across multiple affected vendors and explain its disclosure decision?
- Does the final communication tell the relevant people what was resolved without claiming more than the evidence supports?
These checks are workflow-design criteria drawn from the handling and communication functions in NIST SP 800-216, ISO/IEC 29147 and 30111, and the report and validation expectations in OpenAI’s and GitHub’s guidance. They are not a product ranking or a claim that one implementation suits every organization.
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