Arcanna.ai provides a decision intelligence layer for Security Operations Centers (SOCs) that uses analyst-taught AI models to assist with security alert triage and response decisions. The platform operates by learning from security analysts' feedback and judgment to create governed AI models that analyze security alerts, determine appropriate courses of action, and automate post-decision tasks. The system integrates with existing security tools without requiring additional interfaces. The platform addresses common SOC challenges including alert fatigue, false positives, and analyst burnout by encoding analyst expertise into machine learning models that run within parallel, guardrailed pipelines. When alerts are triggered, the system analyzes them, suggests actions, creates tickets, and incorporates analyst feedback to continuously improve its decision-making capabilities. This approach preserves organizational security knowledge even as staff turnover occurs. Founded by security and operations professionals with real SOC experience, Arcanna.ai uses a patented architecture designed to ensure decisions are traceable, explainable, and consistent. The platform targets enterprise SOC teams looking to scale their capacity to handle security threats while maintaining human oversight and control. The company emphasizes that their AI works in support of analysts rather than as a replacement, functioning as a "driver assist" system that augments human decision-making with machine learning capabilities trained on the organization's own security expertise.