GitHub Sponsor Content for HookProbe
Sponsor Message (Short CTA)
"Fund the future of AI-powered edge security. HookProbe + Qsecbit: Open-source automated threat detection that fights back."

Bio (250 characters max)
Developing HookProbe: AI-powered cybersecurity platform with automated threat response. Creator of Qsecbit—a novel resilience metric for AI-era defense. MIT-licensed, production-ready, designed for edge SOC deployments. Turning SBCs into security nodes.
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Intro (Max 5000 characters)
Building Autonomous Cybersecurity for the AI Era
HookProbe is an open-source, AI-powered cybersecurity platform that detects threats and automatically fights back. Unlike traditional security tools that only alert, HookProbe analyzes, decides, and responds—all without human intervention.
At its core is Qsecbit (Quantum Security Bit), a novel AI resilience metric that measures cyber defense as the equilibrium point where AI-driven attacks meet AI-driven countermeasures. Think of it as a "threat temperature" that triggers automated responses when the system enters amber or red zones.
What makes this different:

Automated Response: When XSS injection is detected, HookProbe automatically updates WAF rules, blocks the attacker's IP, scans their infrastructure, and generates forensic reports—all within seconds.
On-Demand Defense: Kali Linux spins up only when threats are detected, running automated penetration tests and countermeasures, then shutting down to conserve resources.
Edge-First Architecture: Designed for Single Board Computers (Raspberry Pi, NVIDIA Jetson, Banana Pi) to democratize SOC capabilities. Your home network can run enterprise-grade security.
Complete Stack: 7-POD architecture includes WAF (NAXSI), IDS/IPS (Zeek, Snort 3), monitoring (Grafana/Prometheus/Loki), databases, and AI response—all MIT-licensed for commercial use.

The Qsecbit Innovation:
Qsecbit combines four components into a single 0-1 score:

System drift (Mahalanobis distance from baseline)
ML-predicted attack probability
Classifier confidence decay (how fast AI predictions change)
Quantum drift (entropy deviation)

When the score hits 0.45, the system enters AMBER (warning). At 0.70, it goes RED (critical) and triggers full automated response. It's not just detection—it's quantified resilience.
Current Status:
HookProbe v5.0 is in active development. We've completed:

✅ GPL elimination: Replaced Suricata with Zeek+Snort3, Loki with VictoriaMetrics/Logs, all under MIT license
✅ Simplified infrastructure: Single OVS bridge, OpenFlow ACLs, XDP/eBPF DDoS protection
✅ Full containerization: 7 PODs running on Podman with PSK-encrypted VXLAN
✅ Qsecbit algorithm: Production-ready with RAG thresholds and convergence metrics
✅ Automated response scripts: Anti-XSS, anti-SQLi, memory overflow protection

Why Sponsorship Matters:
This project runs on pure R&D investment. Over the past 24 months, we've invested €13,270 in foundational technology, server costs, and tooling. The next 12 months require €5,800 for scaling AI capabilities and LLM integration for threat intelligence automation.
Your sponsorship directly funds:

Qsecbit refinement: Training custom ML models for better attack prediction
Honeypot intelligence: Building automated threat data collection across 10+ honeypot types
Performance optimization: Making HookProbe run efficiently on $50 SBCs
Documentation & templates: Enabling anyone to deploy their own SOC in 15 minutes
Community tools: Pre-built images, integration guides, threat intelligence feeds

The Vision:
By 2035, cyberattacks won't be fought by overworked analysts staring at dashboards. They'll be fought by distributed AI agents running on edge devices—your router, your IoT gateway, your home server. HookProbe is building that future today.
Every home, small business, and edge deployment becomes a node in a decentralized security mesh. When one node learns a new attack pattern, the entire network adapts. This is cybersecurity democratized.
What We're Not:

❌ Another dashboard-only SIEM
❌ A commercial product with open-source bait
❌ Vaporware or proof-of-concept

What We Are:

✅ Production-ready code you can deploy now
✅ MIT-licensed for commercial use (v5.0+)
✅ Actively maintained with clear roadmap
✅ Built by former architect turned security engineer who ships

Sponsorship Tiers:
Every contribution matters, but here's what different levels enable:

$10/month: Keeps CI/CD running, funds test infrastructure
$50/month: Adds GPU compute for ML model training
$100/month: Funds dedicated honeypot deployments for threat intel
$500/month: Enables full-time R&D on Qsecbit v2.0 with quantum-resistant cryptography