This repository curates a vendor-neutral list of freely accessible annual cybersecurity reports, targeting CIOs, CISOs, and security leaders. It aims to simplify the process of identifying actionable insights from the vast number of industry surveys and analyses, enabling more informed decision-making in a rapidly evolving threat landscape.

How It Works

The project categorizes reports into "Analysis" (data-driven insights from sensors or services) and "Survey" (sentiment and practices from interviews or consulting). Reports are organized by primary focus, with the most recent versions prioritized. Older reports are archived, and those not updated in three years are removed from the main README but remain accessible. AI is used to convert PDF reports to Markdown.

Quick Start & Requirements

• Access the curated list directly via the README.md file.
• No specific software installation is required to view the reports.
• Links to original sources and Hybrid Analysis are provided for most reports.

Highlighted Details

• Comprehensive categorization of reports by focus area (e.g., Threat Intelligence, Application Security, Ransomware, AI).
• Includes reports from major cybersecurity vendors, research firms, and government agencies.
• Provides links to original sources and AI-generated Markdown versions for accessibility.
• Filters out reports requiring paid subscriptions to ensure vendor neutrality.

Maintenance & Community

• The list is maintained by jacobdjwilson.
• Contributions are welcome via CONTRIBUTING.md.
• No specific community channels (Discord, Slack) or roadmap are mentioned.

Licensing & Compatibility

• The repository itself is likely under a permissive license (e.g., MIT, CC0), but the licensing of the individual reports is the responsibility of their original authors.
• Users are advised to consult original authors for report content licensing.

Limitations & Caveats

The list is limited to freely accessible content and does not include project-specific documents like white papers or technical specifications. The AI conversion to Markdown may not perfectly capture all nuances of the original reports.