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OpenMatter Network Expands with New Capabilities for Secure AI, Computing and Data Collaboration

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This story was originally published on HackerNoon at: https://hackernoon.com/openmatter-network-expands-with-new-capabilities-for-secure-ai-computing-and-data-collaboration.
The new capabilities, available now as part of the commercially available OpenMatter Network platform, span secure application development
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OpenMatter Network Expands with New Capabilities for Secure AI, Computing and Data Collaboration

The Good Tech Companies

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The Good Tech CompaniesOpenMatter Network Expands with New Capabilities for Secure AI, Computing and Data Collaboration. Machine-transcribed; use the interactive transcript above to jump the player to any line.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. OpenMatter Network expands with new capabilities for secure AI, computing and data collaboration by Cyber Newswire. Melbourne, Florida, September 2, 2026, Cyber Newswire, less than three months after its commercial launch, OpenMatter Network today announced a significant expansion of the platform with new capabilities that make it easier for enterprises, developers and researchers to build, deploy and collaborate using sensitive data and AI while maintaining cryptographic control over how information is accessed, computed and shared. The new capabilities, available now as part of the commercially available OpenMatter Network platform, spans secure application development, AI model management, privacy preserving machine learning and data collaboration. More importantly, they demonstrate one of the founding principles of the company. The platform is not a fixed solution for today's computing environment, but an extensible verification architecture. A cryptographic foundation that validates what happened

without controlling how it happened, capable of incorporating new technologies and capabilities as enterprise computing continues to evolve. Greater than, when we launched OpenMatter in June, we weren't launching a finished greater than destination, said Renee Davis, CEO and co-founder. We were establishing in greater than architecture designed to grow with the needs of our customers and with the greater than rapid changes taking place across AI and secure computing. These additions greater than demonstrate how quickly we can extend the platform while preserving the greater than cryptographic foundation everything is built upon. Among the most significant additions is Matter SDK, a new client layer that gives developers streamlined access to matter chain capabilities while providing a foundation for building applications across the open matter environment. Matter SDK incorporates Matter Vault, which uses threshold cryptography to protect API keys, credentials, and other secrets. Rather than storing a complete key in one location, Matter Vault distributes key shares across multiple parties so no single

machine can decrypt information on its own. Matter SDK gives developers streamlined access to this protection without requiring specialized cryptographic expertise. For customers deploying AI across multiple providers, OpenMatter has added model router, providing a single gateway through which organizations can manage access to models from providers including OpenAI, Anthropic, Google and self-hosted endpoints for on-premise deployments. Organizations can establish routing rules, change models without redeploying applications, rotate provider credentials centrally and see how different models are being used. Provider keys remain protected rather than being placed directly into individual AI-agent environments, reducing exposure if an agent is compromised. The company also introduced Matter MLV2, a major advance in open MatterSprivacy preserving computing capabilities. Matter MLV2 enables multiple organizations to jointly train or run models across combined information without requiring any participant to expose its underlying

data to the other organizations or to the computing infrastructure. Significant performance improvements enable secure multi-party computation through a graphical interface rather than specialized cryptographic programming, allowing analysts to execute complex privacy preserving workflows without writing code. This release comes with a 1000X increase in efficiency according to early benchmarks performed by the OpenMatter cryptography team. Communities extend that model by enabling research groups, scientific organizations and other member-led groups to organize around data sets, establish different levels of privacy, discuss and evaluate information, and govern what their communities endorse. The result is an environment designed to increase the usefulness of valuable information without requiring its owners to give up control of it. Greater than, these aren't isolated features being bolted onto a platform, Davis said. Greater than, they are examples of what an open verification architecture makes possible. Greater than customers should be able to take advantage of new models, new cryptographic greater than techniques and new

ways of collaborating without having to replace the greater than foundation underneath them every time computing changes. That ability is particularly important as AI develops at a pace that makes traditional technology refresh cycles increasingly impractical. New models, providers, security challenges and computing approaches are emerging continuously, making adaptability itself an important enterprise requirement. OpenMatter was designed around that reality. Its underlying platform separates verification from the individual applications, AI models and infrastructure operating above it, allowing new capabilities to be introduced while maintaining a consistent cryptographic foundation for protecting data and verifying computation. Greater than, the future of computing is going to keep changing, Davis said. No one can greater than tell an enterprise today exactly which AI models, computing environments are greater than security challenges it will face three years from now. What we can give them greater than is an architecture that is ready to evolve with that future. For more information, users can visit HTTPS colon slash slash www. OpenMatter,

Network, Formatory, Users can click here. About OPEANMATTR network, headquartered in Florida's Space Coast, OpenMatter Networkies building the verifiable trust layer for secure collaboration in AI agents. Guided by the principal, don't trust data. Prove it, the company's cryptographically verifiable architecture enables secure collaboration, governed AI behavior and mathematically verifiable results across untrusted environments. For more information, visit www. OpenMatter, Network, contact Cali McDaniel Cali at Griffin 360. Com this story was published as a press release by Cyber Newswire under Hackernoon Business Blogging Program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit Hackernoon.com to read, write, learn and publish.

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