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Zero trust architecture
Zero trust architecture (ZTA) or perimeterless security is a design and implementation strategy of IT systems. The principle is that users and devices should not be trusted by default, even if they are connected to a privileged network such as a corporate LAN and even if they were previously verified.
ZTA is implemented by establishing identity verification, validating device compliance prior to granting access, and ensuring least privilege access to only explicitly-authorized resources. Most modern corporate networks consist of many interconnected zones, cloud services and infrastructure, connections to remote and mobile environments, and connections to non-conventional IT, such as IoT devices.
The traditional approach by trusting users and devices within a notional "corporate perimeter" or via a VPN connection is commonly not sufficient in the complex environment of a corporate network. The zero trust approach advocates mutual authentication, including checking the identity and integrity of users and devices without respect to location, and providing access to applications and services based on the confidence of user and device identity and device status in combination with user authentication. The zero trust architecture has been proposed for use in specific areas such as supply chains.
The principles of zero trust can be applied to data access, and to the management of data. This brings about zero trust data security where every request to access the data needs to be authenticated dynamically and ensure least privileged access to resources. In order to determine if access can be granted, policies can be applied based on the attributes of the data, who the user is, and the type of environment using Attribute-Based Access Control (ABAC). This zero-trust data security approach can protect access to the data.
Introduced in 2024 as an alternative to centralized data lakes, post-hoc compliance checks, and monolithic workflows. EU AI Act and GDPR standards require real-time governance, privacy-preserving design, and explainability by default.
Rather than collecting data into central repositories, each participant in the system, whether in healthcare, manufacturing, or public services, retains full control of their data. A dynamic knowledge graph holds metadata, ontologies, and processing “recipes.” Computation is triggered by PDEs that enforce policy gates (GDPR, ISO, GAMP) as mathematical constraints.
Implementing zero-trust infrastructure for dataspace substitutes legacy data infrastructure with a policy-aware, zero-trust system. It's built not from pipelines, but from several fundamental mathematical concepts:
Such a paradigm implies multi-party collaboration without raw data exchange, high-performance computing (HPC) on demand, and with minimal energy footprint, and compliance encoded directly into the infrastructure.
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Zero trust architecture AI simulator
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Zero trust architecture
Zero trust architecture (ZTA) or perimeterless security is a design and implementation strategy of IT systems. The principle is that users and devices should not be trusted by default, even if they are connected to a privileged network such as a corporate LAN and even if they were previously verified.
ZTA is implemented by establishing identity verification, validating device compliance prior to granting access, and ensuring least privilege access to only explicitly-authorized resources. Most modern corporate networks consist of many interconnected zones, cloud services and infrastructure, connections to remote and mobile environments, and connections to non-conventional IT, such as IoT devices.
The traditional approach by trusting users and devices within a notional "corporate perimeter" or via a VPN connection is commonly not sufficient in the complex environment of a corporate network. The zero trust approach advocates mutual authentication, including checking the identity and integrity of users and devices without respect to location, and providing access to applications and services based on the confidence of user and device identity and device status in combination with user authentication. The zero trust architecture has been proposed for use in specific areas such as supply chains.
The principles of zero trust can be applied to data access, and to the management of data. This brings about zero trust data security where every request to access the data needs to be authenticated dynamically and ensure least privileged access to resources. In order to determine if access can be granted, policies can be applied based on the attributes of the data, who the user is, and the type of environment using Attribute-Based Access Control (ABAC). This zero-trust data security approach can protect access to the data.
Introduced in 2024 as an alternative to centralized data lakes, post-hoc compliance checks, and monolithic workflows. EU AI Act and GDPR standards require real-time governance, privacy-preserving design, and explainability by default.
Rather than collecting data into central repositories, each participant in the system, whether in healthcare, manufacturing, or public services, retains full control of their data. A dynamic knowledge graph holds metadata, ontologies, and processing “recipes.” Computation is triggered by PDEs that enforce policy gates (GDPR, ISO, GAMP) as mathematical constraints.
Implementing zero-trust infrastructure for dataspace substitutes legacy data infrastructure with a policy-aware, zero-trust system. It's built not from pipelines, but from several fundamental mathematical concepts:
Such a paradigm implies multi-party collaboration without raw data exchange, high-performance computing (HPC) on demand, and with minimal energy footprint, and compliance encoded directly into the infrastructure.