This page defines the professional terms, boundaries, and expectations for collaboration with the author of ZVM Labs.
ZVM Labs considers proposals related to technical leadership, cybersecurity, programming, systems and network administration, AI workflows, GRC, risk management, security controls, audit readiness, technical writing, and technical management. Collaboration should be lawful, ethical, technically grounded, and useful for readers, teams, or organizations.
Legal Status
This page is not a public offer, contract, guarantee of acceptance, or commitment to publish any material.
Any collaboration is considered agreed only after the parties explicitly confirm the key terms in writing: topic, format, scope, timeline, confidentiality level, material usage, and expected outcome.
If collaboration requires an NDA, separate agreement, rights clearance, or formal legal review, this must be agreed before work begins.
Scope of Collaboration
Priority areas:
- cybersecurity fundamentals, labs, write-ups, and defensive analysis;
- technical leadership, roadmap review, knowledge base structure, and team communication;
- networking, Linux, web security, OWASP Top 10, threat modeling;
- C, C++, Python, PHP, automation, tooling, and practical code notes;
- system administration, network administration, and network equipment work;
- security controls, audit readiness, policy management, risk treatment;
- AI workflows for research, analysis, documentation, and technical writing;
- GRC and risk management for technical teams;
- explaining technical risk to leadership, board-level, or non-technical audiences;
- editorial preparation of structured technical materials;
- bilingual notes in Ukrainian and English.
Accepted Formats
Possible collaboration formats:
- joint article or guest note;
- technical explainer or practical guide;
- technical leadership advisory discussion;
- fractional/interim technical leadership discovery call;
- review of technical strategy, roadmap, documentation, or knowledge base;
- lab write-up with clearly defined scope;
- review of a technical material structure;
- GRC/risk note mapped to controls, evidence, and decisions;
- AI workflow note with inputs, assumptions, limitations, and verification;
- advisory discussion about material structure, roadmap, or risk communication;
- executive-ready brief about technical risk, controls, security posture, or audit readiness.
The format is defined separately for each initiative.
Technical and Ethical Requirements
For cybersecurity or security research topics, the following conditions are mandatory:
- lawful basis or explicit authorization for any work involving real systems;
- no instructions intended for harm, unauthorized access, or protection bypass;
- use of learning platforms, labs, or owned environments unless written authorization says otherwise;
- removal of secrets, tokens, credentials, internal hostnames, private IPs, personal data, and confidential fragments;
- clear separation of observation, evidence, assumption, and conclusion;
- responsible disclosure for potential vulnerabilities.
ZVM Labs reserves the right to decline a topic if it creates legal, ethical, or security risk.
Confidentiality
By default, information submitted for collaboration discussion is not considered confidential unless the parties agree otherwise in writing.
Do not send:
- passwords, private keys, API tokens, or session cookies;
- internal documentation without owner approval;
- third-party personal data;
- trade secrets or materials under NDA;
- exploit details for real systems without an agreed responsible disclosure process.
If the topic requires confidentiality, state this in the first message and briefly explain the expected handling requirements.
Intellectual Property and Publication
Before work begins, it is recommended to agree:
- who is the author or co-author;
- whether a name, organization, or profile will be credited;
- who may edit the final text;
- whether fragments, screenshots, diagrams, logs, or code snippets may be used;
- whether republication on other platforms is allowed;
- which license or attribution model applies, if needed.
Submitting an idea does not transfer all rights to that idea. Discussing a topic also does not guarantee publication on ZVM Labs.
AI and Data Handling
AI tools may be used for research, structuring, editing, summarization, or draft preparation.
For collaboration-related materials, it is important to:
- avoid sending confidential or sensitive data to AI tools without permission;
- verify technical claims;
- disclose AI-assisted workflow where it is material to context;
- avoid presenting AI-generated claims as verified facts;
- document limitations, assumptions, and verification steps.
Proposal Review Process
Typical process:
- Initial message with the collaboration idea.
- Fit check against ZVM Labs focus areas.
- Clarification of scope, risks, sources, confidentiality, and expected outcome.
- Format agreement: article, note, write-up, review, discussion, or advisory conversation.
- Draft or outline preparation.
- Review for accuracy, safety, readability, and reader value.
- Decision to publish or close the collaboration without publication.
ZVM Labs may close a discussion without publication if the material does not meet editorial, technical, or ethical requirements.
What Is Not Accepted
ZVM Labs does not accept:
- requests for unauthorized access, exploitation, or bypass of real systems;
- materials containing secrets, credentials, or personal data without lawful basis;
- hidden advertising or sponsored content without clear disclosure;
- bulk SEO content without practical value;
- unverified claims presented as facts;
- materials that infringe third-party rights;
- topics that may create disproportionate legal or security risk.
How to Submit a Proposal
Write to [email protected] or use the Feedback page.
Recommended message format:
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The more clearly you define topic, scope, audience, and expected outcome, the easier it is to evaluate the proposal.
Communication Expectations
Communication should be professional, specific, and in good faith.
Expected:
- clear description of the task;
- respect for time and collaboration boundaries;
- readiness to clarify technical details;
- transparency about sponsorship, affiliation, or conflict of interest;
- willingness to remove or anonymize sensitive information.
Privacy and Policies
Privacy, email communication, AI policy, content policy, security policy, and responsible reporting are described on the Privacy and Policies page.
Before sending materials for collaboration, make sure they do not contain data that cannot be shared or published.