Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
January 11, 2023 · With 3D printing an engine for distributed manufacturing and localized supply chains, new security techniques are emerging to ensure part authenticity and manufacturing resiliency.
September 9, 2022 · The Identify3D product suite encrypts, distributes and traces the flow of digital parts.
December 21, 2020 · New API program connects additive manufacturing to the smart factory; initial partners include Link3D and Identify3D.
November 20, 2019 · Both companies can help support automated, end-to-end, secure and controllable manufacturing data distribution, collection and monitoring across control systems and production equipment.
July 1, 2019 · Coming soon to an additive manufacturing shop near you: digital rights management for 3D printing.
May 30, 2019 · One of the picks will be chosen as DE’s Editor’s Pick of the Week.
May 23, 2019 · Updated suite of applications provides standardized, secure communication paths to ensure repeatability and traceability in digital manufacturing; Identify3D expands network of software and hardware partnerships.
October 1, 2018 · Engineers are creating more use cases for the industrial internet of things; but what roadblocks do they still need to consider?
September 6, 2018 · Identify3D to showcase its flagship Digital Supply Chain Solution for manufacturers at IMTS 2018.
August 21, 2018 · The National Center for Cybersecurity in Manufacturing focuses on 3D printing cybersecurity risks.
September 7, 2017 · Identify3D, a software provider for digital manufacturing security and traceability, announced its partnership with Siemens to advance their Digital Factory.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
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