SOC Intelligent basé sur l’IA pour la détection d’attaques avancées
SIEM Benchmark 2026: We conduct a rigorous comparison between market leaders Wazuh 2026 and Splunk ES against our final choice: ELK Stack (Elastic 9.3).
We chose Elastic for its 12× faster GPU acceleration for indexing and its revolutionary Agent Builder, which allows us to deploy AI copilots without code.
Machine Learning Benchmark: To minimize false positives, we evaluated models including XGBoost, CNNs, Isolation Forest, and Autoencoders. [Previous Benchmarks] Our final choice is Random Forest, the "gold standard" for structured log analysis, achieving 99% accuracy on the UNSW-NB15 dataset and demonstrating extreme stability against imbalanced data.
Detection Strategy: We leverage Autoencoders for their perfect 1.00 recall to catch "zero-day" anomalies, layered with Random Forest for high-precision filtering. [Previous Benchmarks]
Roadmap & Execution: A detailed 16-week plan from foundation (Elastic 9.3 installation) to the implementation of Conversational AI (RAG) and SOAR automation via Elastic Workflows
#CyberSecurity #SOC #ArtificialIntelligence #MachineLearning #ELKStack #Elastic93 #RandomForest #Wazuh #Splunk #FalsePositiveReduction #UEBA #SOAR #MITRE #APT #IntrusionDetection #BigData #XAI #Python #GitHub #CyberSentinel #CloudSecurity #2026Tech