Denis

SecuriLayer protects online communities from scams, phishing, and social engineering attacks in real-time. Unlike traditional moderation tools that react after damage is done, SecuriLayer uses triple-layer AI: ONNX ML engine for instant verdicts, Llama 3.2 LLM for plain-English explanations, and Vigil AI analyst that knows your community's risk profile. Features include threat intel feeds (URLhaus, OpenPhish, ScamSniffer), SIEM export for enterprise teams, scam DNA fingerprinting,and extension.

Production KV-cache compression for Mixture-of-Experts language models. LLM inference costs explode because: • KV-cache grows with sequence length (16k tokens = 256MB per token) • MoE models waste GPU storing inactive experts • Memory becomes the bottleneck, not compute 📊 REAL BENCHMARKS (Mixtral 8x7B) • KV Memory: 256MB → 30MB (8.53x smaller) • Quality: 100% preserved (zero degradation) • Speed: 8.48x faster in production • Expert Cache Hit: 96.75% • GPU Memory Saved: 6.42 GB per layer