Hydden is an identity data platform designed for enterprise security teams. The platform functions as a unified data layer between an organization's infrastructure and its identity stack, addressing fragmentation across the multiple identity tools typically deployed in enterprise environments. The platform is built around three core capabilities: - Discovery: Identifies every identity across an organization's systems, including human accounts, machine credentials, service accounts, API keys, and AI agents. - Observability: Provides real-time monitoring and alerting on identity changes across connected systems, resolving accounts to individual users regardless of naming conventions. - Control: Automates access governance, policy enforcement, and compliance through AI-driven agents that detect and remediate violations. Hydden targets the challenge of non-human identity (NHI) governance, noting that machine identities outnumber human identities in enterprises at ratios ranging from 50:1 to 500:1. The platform continuously monitors for access drift and policy violations, deploying automated agents to remediate issues without manual intervention. Key functional areas include continuous compliance automation, access review automation, audit evidence generation, application onboarding, and identity mapping across heterogeneous environments. The platform supports deployment across public cloud providers (AWS, Azure, GCP), on-premises infrastructure, private Kubernetes clusters, and runs natively on Windows, Mac, and Linux. Hydden's target users are IAM (Identity and Access Management) teams in enterprise organizations seeking to reduce manual operational overhead associated with identity governance, access reviews, and audit preparation. The platform positions itself as a system of record for identity data across an enterprise's full identity stack.