AIDeliveryOS is currently a documentation-first, methodology-first open-source project.

While the repository does not currently operate a production software platform, security remains important.

This policy explains how to report security concerns and how security will be handled as the project evolves.

AIDeliveryOS is currently in the Methodology Validation phase of development.

Security requirements will evolve as the project matures.

Current Focus:

• Documentation security
• Repository hygiene
• Dependency awareness
• Secure development guidance

Future Focus:

• AI workflow security
• Context validation controls
• Recommendation engine security
• Platform security controls
• Enterprise governance

At this stage, security updates apply to the latest version of the repository.

If you discover a security issue, please do not publicly disclose it immediately.

Instead:

1. Open a private security report when available.
2. Contact the project maintainer.
3. Provide enough information to reproduce and verify the issue.
4. Allow reasonable time for investigation and response.

Include:

• Description of the issue
• Potential impact
• Steps to reproduce
• Suggested remediation (if known)

Examples include:

• Credential exposure
• Secrets committed to the repository
• Supply chain risks
• Malicious dependencies
• Vulnerable automation workflows
• Security issues in future software components
• Infrastructure or deployment vulnerabilities

Future software components should:

• Minimize external dependencies.
• Prefer actively maintained libraries.
• Monitor known vulnerabilities.
• Review supply chain risks regularly.
• Remove unused dependencies.

Dependency complexity should be justified by measurable value.

The following generally do not require security disclosure:

• Documentation errors
• Typos
• Content disagreements
• Methodology disagreements
• Roadmap suggestions
• General feature requests

These should be submitted through normal GitHub issues.

AIDeliveryOS follows several security principles:

• Least complexity necessary
• Transparent governance
• Secure-by-default guidance
• Dependency awareness
• Validation before automation
• Human review of critical decisions

Security should be considered throughout discovery, architecture, implementation, and operations.

Because AIDeliveryOS is designed to support AI-assisted software delivery, contributors should be aware of risks unique to AI workflows.

Examples include:

• Prompt injection
• Sensitive data exposure
• Context poisoning
• Unsafe code generation
• Insecure dependency recommendations
• Hallucinated implementation guidance

Additional considerations include:

• Retrieval poisoning
• Unsafe agent actions
• Context leakage
• Excessive permissions
• Unverified recommendations

AI systems should be treated as decision-support tools rather than authoritative sources.

Human review remains responsible for final implementation decisions.

AI-generated output should always be reviewed before implementation.

When using AIDeliveryOS for software projects, security should be reviewed during:

• Discovery
• Architecture planning
• Technology selection
• Implementation planning
• Deployment planning

Security should be treated as part of Implementation Readiness rather than a post-development activity.

The project will attempt to:

1. Acknowledge reports promptly.
2. Investigate reported issues.
3. Validate severity and impact.
4. Implement remediation when necessary.
5. Communicate outcomes transparently.

Response timelines may vary depending on project maturity and maintainer availability.

AIDeliveryOS does not currently provide:

• Security monitoring
• Vulnerability scanning
• Managed security services
• Automated compliance validation
• Security certifications

Users remain responsible for implementing appropriate security controls within their own environments.

As AIDeliveryOS evolves beyond documentation and methodology, this policy may expand to include:

• Software releases
• Automation systems
• Recommendation engines
• Context intelligence components
• Platform services
• Enterprise deployments

Security requirements will evolve with project complexity.

Security decisions should prioritize:

1. Risk reduction
2. Simplicity
3. Visibility
4. Validation
5. Maintainability

Complex security controls should provide clear value relative to their operational cost.

Security is one component of Implementation Readiness.

Before implementation begins, teams should understand:

• Security requirements
• Regulatory requirements
• Data sensitivity
• Access controls
• Authentication requirements
• Audit requirements
• Operational risks

Security decisions should be documented as part of the Project Context Package whenever applicable.

Addressing these considerations early reduces implementation risk and costly redesign later.

AIDeliveryOS is built on the belief that many implementation failures originate from missing context and poor decisions.

Security is part of Implementation Readiness.

Security considerations should be identified early, documented clearly, and validated before implementation begins.

Better context leads to better decisions.

Better decisions lead to more secure systems.