Zero Trust requires unified data

Zero Trust (ZT) is a security methodology and framework being adopted across the US federal government, emphasizing the need for a unified data layer to ensure effective implementation. Unlike traditional perimeter-based security models, ZT assumes threats both inside and outside the network and consists of two key components: Zero Trust Architecture (ZTA) and Zero Trust Network Access (ZTNA), which focus on securing data and managing access for remote users, respectively. The approach requires seamless integration and coordination of various systems, applications, and data layers across an organization to operate efficiently at network speeds. Elastic's platform provides a robust foundation for this integration, offering capabilities such as data ingestion, machine learning, and analytics to support real-time decision-making and enhance security operations. The approach of unifying data layers facilitates agility and scalability, enabling organizations to adapt to evolving security threats and integrate new technologies over time. Elastic's platform aims to future-proof data operations by combining semantic and lexical search capabilities, ultimately supporting the long-term strategy and incremental implementation of Zero Trust.