Forums

SecuriLayer Enterprise — AI-Powered Community Security Platform

SecuriLayer Enterprise is the comprehensive AI-powered security platform designed for organizations that need compliance-grade audit trails, advanced threat intelligence, and enterprise-scale protection across Telegram, Discord, Slack, and X/Twitter communities.

Enterprise Features

Advanced Threat Detection

  • ONNX + LightGBM ML Engine Real-time analysis with 99.9% accuracy, sub-100ms response time

  • Triple-layer AI Architecture  ONNX ML (instant decisions) + Llama 3.2 LLM (plain-English explanations) + Vigil AI Analyst (community risk profiling)

  • Custom Threat Intel Feeds URLhaus, OpenPhish, ScamSniffer, Google Safe Browsing + your custom IOCs

  • Scam DNA Fingerprinting Track attack patterns across your network and identify threat actors

Denis

2d ago

SecuriLayer MultiPlatform ONNX & Ass - AI-powered scam detection for Telegram, Discord & Slack

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.
Denis

24d ago

TurboQuant-MoE:8.5x KV-Cache Compression - 8.5x KV-cache compression for LLM inference

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