Mate Security Context Graph is an AI-powered SOC automation platform that converts organizational institutional knowledge into a structured graph-based context system designed for AI agent consumption. The core mechanism, called the "Security Context Graph," ingests data from logs, tables, and documents, then applies a "reason mining" process to extract contextual memories and canonical investigation answers. These are stored in a continuously evolving graph that AI agents query to conduct triage, investigation, and enrichment tasks autonomously. The platform is designed to reduce analyst workload by pre-completing triage and investigation steps before an analyst opens a case. AI agents operate on-demand alongside existing analyst tools without requiring workflow disruption. The system captures both internal organizational context (policies, playbooks, asset ownership, tribal knowledge) and external threat intelligence, feeding agent outputs back into the graph to improve over time. Key use cases include alert triage, incident investigation, automated enrichment, and supervised response with human approval. The platform targets SOC teams seeking to reduce false positive fatigue, accelerate mean time to respond, and enable junior analysts to operate at a higher level without extensive manual guidance. Mate positions itself as distinct from earlier SOAR-style automation by grounding AI agent decisions in structured organizational context rather than raw, human-readable data. The product has been recognized by CrowdStrike, AWS, and NVIDIA through a startup accelerator program, and by Accenture through the Fintech Innovation Lab.