The Trust Layer for Secure Computing and AI Agents
AI Agents are quickly becoming essential across multiple industries such as Healthcare, Finance, and HR Technology. However the progress of traditional cybersecurity techniques has not kept pace with the rapid proliferation and adoption of Agentic AI. We have quickly moved from, “this AI is just a chatbot” to “this AI is an autonomous agent capable of real actions.” And as we know, actions have consequences, like when an AI Agent deletes a production database in just 9 seconds. Many organizations are now seeing a huge influx of rogue agents that do not comply with security policies or adhere to any governance. These ‘shadow agents’ are a real problem. Whether an agent is unsanctioned or officially deployed, giving it access to centralized, plaintext data creates a massive exfiltration liability. OpenMatter has built the trust layer for secure computing and collaboration of AI Agents.
You shouldn’t have to centralize your raw data just to extract insights from it. That’s insights with compromise. We built the trust layer for secure computing to mitigate that risk. That’s why we invented the secure data collaboration protocol. Secure data collaboration is the only way for AI Agents to safely interact with datasets on behalf of humans. Rather than having AI agents access raw datasets OpenMatter’s data collaboration platform provides a verifiable trust layer for secure computing. AI Agents can now access knowledge bases secretly across your organization without ever seeing the data in the first place. That’s a fundamental shift from rogue agentic workflows to verifiable private data queries. OpenMatter doesn’t just help identify shadow agents, it stops them from being malicious. Agents can’t leak datasets they never had access to in the first place.
Secure data collaboration isn’t just for securing datasets against malicious agents. It’s an entire new framework for collaborative data analysis when multiple parties are involved across untrusted environments. It’s a way to collaborate on insights without risk or privacy compromises. When an AI Agent requests access to query a dataset on OpenMatter what is actually happening is multiple datasets are being scrambled into little bits of encrypted pieces. This enables pooled insights without the need to anonymize or reveal the raw individual datasets themselves to each party involved.
This technology is already being used for competitive market intelligence across investment firms who need to collaborate on some data without sharing the raw data itself. Many organizations are building knowledge repositories for AI Agents called RAG databases. These databases are not inherently designed for confidentiality or for collaborative data analysis. OpenMatter is the only platform that enables confidential and verifiable data queries over RAG databases. Pooled insights without drowning in risk. Collaboration without compromise. AI Agents can now securely ask questions across multiple organizations without worry of data leakage.
OpenMatter is actively working with design partners to build and validate secure data collaboration across multiple agentic workflows. If you are interested in OpenMatter there are several ways to get involved!
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