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01emgena /omnimcp_cybersecurity_secops_teaser 🚀 OmniMCP CyberDefense SecOps Cloud Armor (Evaluation Teaser + Turnkey MCP Server) ⚡ Official Free Community Teaser (50 Verified Scenarios + Executable MCP Server)🏆 Production Master Package on Gumroad:👉 Purchase Full Enterprise Package on Gumroad🏷️ Use coupon code LAUNCH20 for €20 off at checkout! (Starting at €249) ⚡ Activate in Cursor IDE & Claude Desktop in 30 Seconds This repository now contains a zero-dependency, turnkey Model Context Protocol (MCP)… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_cybersecurity_secops_teaser.n<1K1 likes531 downloads2d agoHugging Face02TocharianOU /secops-es-benchmark secops-es-benchmark An open benchmark for AI agents that investigate breaches in Elasticsearch. Real, labeled attack telemetry in Elasticsearch (ECS) plus a scored task suite — so you can measure how well an agent, or any LLM, does the job of a SOC analyst: follow one alert, pivot across data sources with ES|QL, reconstruct the intrusion, and recommend a proportionate response. DOI (cite this): 10.5281/zenodo.21770551 Code, runner, and full docs:… See the full description on the dataset page: https://huggingface.co/datasets/TocharianOU/secops-es-benchmark.question-answering100K<n<1M0 likes173 downloads2mo agoHugging Face03emgena /omnimcp_cloud_secops_village_teaser 🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE: Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20! 📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_cloud_secops_village_teaser.text-generationn<1K0 likes153 downloads10d agoHugging Face04mbitai /secops-2k SecOps-2k 2,000 synthetic security log lines with template labels in LogHub format. Parser papers mostly test on system logs (HDFS, BGL, Apache). No comparable set existed for security telemetry, so we built one: sshd, sudo, firewall, and audit lines, all invented. No real hosts, users, or IPs. Authors: TMFNK and MbitAI. Generator code: TMFNK/LogParser-Dataset. Archived release: doi:10.5281/zenodo.22341506. What is inside One host (secops-01), one day (14 Jun), 2… See the full description on the dataset page: https://huggingface.co/datasets/mbitai/secops-2k.tabularother1K<n<10K0 likes69 downloads20d agoHugging Face05mbitai /secops-2k-trail-baseline SecOps-2k Trail baseline Trail's parse of the SecOps-2k synthetic security logs, with the per-decision audit trail. Trail is a deterministic template miner: no model involved in these numbers. Each parsed line gets a template plus a receipt showing the exact decision that produced it. Author: MbitAI. Parser code: TMFNK/LogParser-Trail. Archived release: doi:10.5281/zenodo.22484287. Companion paper: trail-techreport.pdf in the code repo. What is inside File… See the full description on the dataset page: https://huggingface.co/datasets/mbitai/secops-2k-trail-baseline.textother1K<n<10K0 likes57 downloads20d agoHugging Face06emgena /emgena_secops_cloud_armor_mcp_teaser 🚀 Emgena SecOps & Cloud Armor MCP Guard (Cursor & Claude Plugin) (Free Community Teaser) ⚡ Official Free Evaluation Teaser & IDE Plugin Template🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Pro Plugin on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout! 🌟 What is this? Turnkey Cloud IAM Privilege, SSRF Egress & Container Security MCP Plugin for Cursor IDE & Claude Desktop. 100% Zero External Dependencies:… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_secops_cloud_armor_mcp_teaser.textn<1K0 likes33 downloads5d agoHugging Face07MCP-1st-Birthday /smoltrace-secops-tasks SMOLTRACE Synthetic Dataset This dataset was generated using the TraceMind MCP Server's synthetic data generation tools. Dataset Info Tasks: 100 Format: SMOLTRACE evaluation format Generated: AI-powered synthetic task generation Usage with SMOLTRACE from datasets import load_dataset # Load dataset dataset = load_dataset("MCP-1st-Birthday/smoltrace-secops-tasks") # Use with SMOLTRACE # smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-secops-tasks.textn<1K0 likes11 downloads10mo agoHugging Face08cdrde25 /bunker-sase-secops-datasettextn<1K0 likes9 downloads1mo agoHugging Face09fenar /sec_opstabular100K<n<1M2 likes3 downloads2y agoHugging Face

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