Graph-Based Identity Security Across Active Directory and Entra ID

GraphnAI is an identity security platform built to address the risks that arise across hybrid identity environments. It brings together three traditionally separate disciplines: Identity Security Posture Management, Attack Surface Management, and Identity Threat Detection and Response. By unifying these functions, the platform aims to replace the fragmented patchwork of point tools that organizations typically deploy to discover identity weaknesses, evaluate exposure, and act on threats across their estate.

The platform connects on-premises Active Directory with cloud-based Entra ID, presenting a single view of identity risk across both. It applies graph-based attack path analysis to map how an attacker could move through connected identities and permissions, highlighting critical junction points and simulating the potential blast radius of a compromise. Proprietary technologies the company describes as FidelID, Identity Folding, and Identity Loom underpin this correlation, alongside real-time detection of active identity threats.

GraphnAI is aimed at organizations operating complex hybrid AD and Entra ID infrastructures, where overlapping accounts, stale permissions, and misconfigurations create exploitable paths. Beyond surfacing risk, the platform emphasizes safe remediation, helping teams move from detection through analysis to corrective action. At the time of review the company was recruiting US-based design partners for an early access program, indicating it is in an early commercial stage focused on validating the platform with enterprise environments.