The Open Source AI Security Stack That Actually Exists
Vendor solutions for LLM security cost $50,000/year and scan for yesterday's attacks. The open source stack is fragmented but works. Here's what actually exists — and what's still missing.
Vendor solutions for LLM security cost $50,000/year and scan for yesterday's attacks. The open source stack is fragmented but works. Here's what actually exists — and what's still missing.
Tutorials show RAG working at 95% recall on toy datasets. Production systems hit 60%. The gap isn't the technology — it's three implementation choices that look harmless and aren't.
Model Context Protocol gives AI systems tool access. It also creates a new attack surface: tool poisoning, indirect prompt injection, and privilege escalation through tool chaining. Almost nobody is scanning for it.
In 30 days, I built over 20 production projects using my local AI model stack, achieving what would have taken months with traditional methods.
500+ detection patterns. 10-layer pipeline. Kill chain mapping. And it learns from every attack it sees.