Airrived Agentic SOC is a security operations platform that uses a swarm of AI agents to autonomously investigate and resolve security incidents across enterprise environments. The platform is built on custom RLHF (Reinforcement Learning from Human Feedback) agents, Domain-Specific Language Models (DSLMs), and agentic automation. It supports LoRA, RAG, and agent-to-agent communication natively, enabling AI agents to reason across identity, cloud, endpoint, network, and risk signals simultaneously. Core capabilities include: - Autonomous incident investigation and resolution without requiring manual triage - Threat intelligence operationalization through agentic reasoning - Built-in case management with support for external ITSM platform integration - Continuous 24/7 alert enrichment, triage, and response at machine speed - No-code or low-expertise tooling for building, fine-tuning, and orchestrating agentic applications without hand-wired static playbooks The platform is designed as an open, extensible architecture that integrates with security tools (SIEM, EDR, CSPM), cloud platforms, collaboration tools, knowledge systems, and data platforms. Airrived positions the platform as a replacement for legacy SOAR and black-box AI-SOC tools, offering transparent, reasoning-based automation rather than surface-level LLM wrappers. A published customer case study (Zaxby's) reports a 90% reduction in alert fatigue and claims a minimum of $500K in expected operational savings, with investigation and response speeds up to 70x faster.