Integrated enterprise security stack combining SIEM, SOAR, DLP, and autonomous SOC analysis

ARRTECH, headquartered in Bellevue, Washington, positions itself against the assembled-from-parts security stack most large enterprises run. Rather than selling a detection engine that a customer then has to wire into someone else's orchestration and someone else's data protection, the company ships five modules designed to share one data model: SIEM, SOAR, DLP, and the two Cyberdroid components. The SIEM ingests logs, email traffic, and user behaviour and correlates them through the company's own neural network and graph analysis; the SOAR layer converts the resulting findings into orchestrated playbooks; and the DLP module classifies and protects sensitive data across endpoints, cloud repositories, and removable media.

The Cyberdroid half of the stack is where ARRTECH puts its AI claims. Cyberdroid Neural Detection performs the pattern and anomaly work that feeds the SIEM, while Cyberdroid SOC Analyst runs investigations on its own and manages other agents, returning recommendations with the reasoning chain that produced them rather than an unexplained score. Practical outputs across the platform are triaged alerts, staged containment actions, data classification, and forensic attribution. The company says it has roughly two decades of operational history, has worked on AI since 2006, and counts customers among Fortune 100 and Fortune 50 organisations in automotive, banking, manufacturing, hospitality, and pharmaceuticals. Funding and ownership are not publicly disclosed.