Cybersecurity PDF Collection for AI Training

Seeking a skilled cybersecurity professional or developer to manually curate, organize, and deliver 300+ high-quality, advanced-level PDFs. These documents will be used to train an offline AI system focused on cybersecurity tasks. The content must be recent (2023–2025), relevant, and from reputable, legally shareable sources.


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Responsibilities:

Manually collect and verify 300+ advanced cybersecurity PDFs

Organize documents into clearly labeled folders by topic/domain

Ensure each PDF is from a reputable, freely accessible, and legally shareable source



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PDF Types Accepted:

Peer-reviewed research papers

Government or industry standards & protocols

Whitepapers from reputable cybersecurity vendors

Threat intelligence reports

Technical guidance or playbooks



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Ideal Sources Include:

Academic journals

Government websites

Corporate cybersecurity sites

Think tanks / non-profits

Specific examples:

MITRE

CISA

NIST

SANS Institute

arXiv

CERT

Mandiant

CrowdStrike

Fortinet

IBM Security

Google Threat Intelligence




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Required Skills & Experience:

Strong background in cybersecurity (red/blue team, threat intel, etc.)

Experience curating or reviewing security-related documentation

Ability to assess document quality and relevance for AI/data use

Strong organization and metadata tagging skills



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Bonus Points For:

Including metadata per file (title, date, source, type) in a spreadsheet

Ensuring coverage across diverse cybersecurity domains (e.g. ransomware, LLM threats, ICS/OT, identity, cloud, etc.)



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Important Notes:

No broken links, paywalled docs, or proprietary/copyrighted content

The expert will have discretion to choose the most impactful documents

Must ensure the dataset is diverse, comprehensive, and training-grade