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Hybrid Attack Panel (HAP)

Welcome to the Hybrid Attack Panel (HAP) — a live, open intelligence framework dedicated to tracking, analyzing, and understanding hybrid threats that blur the boundaries between war and peace, physical and digital, state and non-state actors.

Cybersecurity

Cybersecurity - Adi Goldstein | Free to use under the Unsplash License

🎯 Project Objectives

HAP serves as both:

  • A working model for decentralized intelligence fusion and signal detection
  • A reproducible framework for other Ardens initiatives, including OSINT and narrative tracking

Our focus areas include:

  • Identifying and classifying hybrid attack vectors through evolving typologies
  • Collecting and normalizing fragmented open-source intelligence (OSINT) feeds
  • Tracking narrative cascades and information shadow effects
  • Providing actionable insights grounded in real-world patterns

💡 Our Approach: Open Source & Zero Budget — With Eyes on Future Growth

The Hybrid Attack Panel (HAP) is committed to building a comprehensive, transparent OSINT framework entirely using open-source tools and zero-cost software wherever possible. This ensures accessibility, auditability, and community collaboration without financial barriers.

What We Are Doing Now

  • Automating data ingestion from publicly available RSS feeds, APIs, and open-source intelligence sources using Python scripts
  • Utilizing open-source databases and search engines (e.g., Elasticsearch, PostgreSQL) to store and index data for flexible querying
  • Employing lightweight scheduling and automation tools native to Linux environments (cron, systemd timers)
  • Applying manual and rule-based filtering and tagging for data quality and relevance
  • Prioritizing transparency, documentation, and community-driven expansion

What Funding Could Enable

With dedicated funding or infrastructure support, HAP could accelerate development by adding:

  • Advanced Natural Language Processing (NLP) for multi-language support, entity extraction, and sentiment analysis
  • Real-time dashboards and alerting systems with interactive visualization
  • Scalable cloud infrastructure for continuous data ingestion and processing
  • Machine learning models for threat scoring, anomaly detection, and predictive analytics
  • Professional-grade data validation and enrichment pipelines

Collaborations & Funding Models

We welcome discussions with funders or partners interested in supporting HAP’s mission. Funded work can be tailored to specific needs and, based on mutual agreement, either:

  • Remain proprietary to support partner objectives
  • Be contributed back as open-source enhancements for the community’s benefit

This transparent and flexible model ensures that HAP can continue to evolve sustainably while honoring our commitment to open knowledge and collaboration.

Feel free to dive in, propose edits, and add new signals or feeds.
This is a public, collaborative effort — the swarm is always stronger together.