Melbourne, Florida, United States, July eighth, 2026, CyberNewswire
OpenMatter Community immediately introduced that it has joined the founding group of organizations taking part within the Hashgraph On-line (HOL) Companion Program, the place the corporate will assist develop requirements, insurance policies and verification frameworks for safe autonomous AI techniques and agentic computing environments.
As organizations more and more deploy AI brokers throughout distributed techniques and enterprise environments, a brand new problem is rising: organizations can not rely solely on trust-based assumptions about how information is used, how computations are executed and the way autonomous techniques behave.
The necessity for mathematically verifiable collaboration, ruled AI habits, and cryptographic proof is quickly turning into one of many defining infrastructure challenges of the AI period.
The HOL Companion Program was created to assist coordinate the event of open requirements and interoperable frameworks that allow autonomous AI techniques to securely determine themselves, talk, transact and entry delicate info with out counting on closed or assumption-based architectures.
This shift displays a rising business recognition that safe collaboration and autonomous AI techniques require verification, not merely belief.
The initiative additional validates the rising business concentrate on proof-based governance, verifiable interoperability, privacy-preserving infrastructure and safe collaboration for autonomous techniques working at enterprise scale.
OpenMatter Community joins a founding group of organizations taking part within the HOL Companion Program, together with GoDaddy, XMTP Labs, Horizen Labs, SKALE Labs, DSR Company, TODAQ Labs, HashPack, Hgraph and different organizations serving to form the rising infrastructure layer for autonomous AI techniques and agentic computing environments.
As a part of the initiative, OpenMatter Community has been chosen to contribute to the HOL AI Privateness & Safety subcommittee, the place the corporate will outline the architectural baseline for institutional adoption, verifiable compliance, threshold decryption, post-quantum safety and ruled AI execution throughout distributed environments.
“AI techniques are quickly evolving past remoted instruments into autonomous entities working throughout organizations, purposes and networks,” mentioned Renee Davis, CEO and Co-Founding father of OpenMatter Community.
“The problem now could be making certain these techniques can securely collaborate, confirm identification, entry information and function inside enforceable insurance policies throughout environments that can’t be inherently trusted. For many years, organizations have relied on trust-based assumptions about infrastructure, information and execution. We imagine the long run belongs to techniques that may show what occurred. Mathematically verifiable collaboration and cryptographic proof will develop into foundational necessities for the subsequent technology of AI infrastructure.”
OpenMatter Community lately launched its platform beneath the banner “Don’t Belief Knowledge. Show It.”
Positioned because the Verifiable Belief Layer for Safe Collaboration and AI Brokers, the corporate’s structure allows safe collaboration, ruled AI habits and mathematically verifiable execution throughout distributed environments by applied sciences together with Masked Compute, QuantumGuard and Datavizor.
The corporate’s QuantumGuard know-how is particularly designed to assist govern how autonomous AI brokers authenticate, work together, entry assets and mathematically show compliance throughout enterprise and open community environments.
“Organizations are shortly realizing that AI governance can’t depend on assumption-based belief fashions,” mentioned Ada Anderson, CTO and Co-Founding father of OpenMatter Community. “If AI techniques are making selections, accessing info and interacting throughout organizational boundaries, enterprises want the flexibility to confirm habits, implement insurance policies and show compliance. The following technology of AI infrastructure would require mathematically verifiable execution, enforceable controls and interoperable requirements that permit autonomous techniques to function securely throughout environments.””OpenClaw gave individuals an actual style of the place AI brokers are headed. The joy was quick, however so was the duty. If that is going to scale, the web wants stronger rails for security, interoperability, and privateness. That’s the work HOL is concentrated on. With OpenMatter becoming a member of the Companion Program, we’re bringing in post-quantum cryptography experience to assist make these rails sensible, usable, and actual,” added Michael Kantor, President of HOL (Hashgraph On-line).
In line with HOL, the Companion Program was created to assist forestall the rising AI ecosystem from fragmenting into closed and incompatible techniques as autonomous AI adoption accelerates. The group’s preliminary working teams concentrate on agent registries, agentic funds, AI privateness and safety, and inter-agent communication and coordination.
Davis and Anderson deliver intensive expertise in safe techniques structure, distributed computing, AI infrastructure and cryptographic applied sciences. Their participation within the HOL initiative additional strengthens OpenMatter Community’s place as an rising contributor to the evolving requirements and verification frameworks required for enterprise-scale AI deployment.
For extra info on OpenMatter Community, click on right here. For extra info on HOL, customers can click on right here.
About OpenMatter Community
Headquartered in Florida’s Area Coast, OpenMatter Community is constructing the Verifiable Belief Layer for Safe Collaboration and AI Brokers. Guided by the precept “Don’t Belief Knowledge. Show It.,” the corporate’s cryptographically verifiable structure allows safe collaboration, ruled AI habits and mathematically verifiable execution throughout untrusted environments. For extra info, customers can go to www.openmatter.community.
About HOL
Hashgraph On-line (HOL) is an open-source ecosystem for interoperable AI brokers. HOL develops requirements, SDKs, registries, and developer instruments that assist organizations determine, uncover, confirm, and coordinate brokers throughout internet and decentralized environments.
Its ecosystem contains HOL Guard, a safety platform that helps builders and organizations cut back threat when deploying and working AI brokers.
By means of the HOL Companion Program, HOL collaborates with organizations advancing open requirements and infrastructure for the agent ecosystem. For extra info, customers can go to https://hol.org.
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