AirMDR AI-SOC is a security operations platform that uses agentic AI to automate alert triage and investigation workflows. The platform connects to security data sources including SIEMs, EDRs, identity systems, and cloud providers to analyze alerts and generate high-fidelity security cases. The system automates approximately 90% of alert triage tasks, reducing false positives and alert noise while decreasing mean time to investigate (MTTI) and mean time to respond (MTTR). The platform uses modular reasoning to dynamically adapt triage workflows to emerging threats without manual scripting. AirMDR AI-SOC provides use case coverage for cloud threats, identity-based attacks, phishing response, and Tier 1 alert offloading. The platform detects misconfigurations, lateral movement, privilege escalation, anomalous logins, credential abuse, and can autonomously lock down users or systems. The platform includes built-in transparency features that log and audit every action taken by the AI analyst, including data selection, investigation planning, and decision-making processes. It offers SDKs and APIs for extending custom logic, ingesting new data sources, and driving external workflows. AirMDR AI-SOC is designed for MSSPs and enterprise SOCs, with deployment timeframes measured in days rather than months. The platform maintains compatibility with existing playbooks, ticket systems, and analyst workflows.