Sentinel Cyber Security Integrates Rocketgraph to Advance Sovereign AI and Post-Quantum Network Forensics
The integration is designed to support large-scale network analysis, data governance, and cybersecurity investigations in controlled computing environments.

By
Jun 23, 2026
SYOSSET, NY - [June 2026] - Sentinel Cyber Security, LLC, a cybersecurity technology company focused on network forensics and post-quantum security requirements, has announced the integration of Rocketgraph into its proprietary ArgusSense platform.
The collaboration brings Rocketgraph’s graph analytics technology into the ArgusSense architecture, enabling the platform to examine complex relationships across large volumes of network and security data. According to the companies, the integration is intended to support organizations that require greater control over where their data is stored, processed, and analyzed.
The announcement reflects growing interest among organizations in cybersecurity systems that can operate within privately managed or controlled computing environments. This approach may be particularly relevant for businesses and institutions handling sensitive information, regulated data, or complex supply-chain networks.
Supporting Controlled Data Environments
A central focus of the integration is the ability to analyze data without requiring organizations to transfer sensitive information directly to external artificial intelligence platforms.
Rocketgraph’s technology connects data sources and analytical applications through a graph-based processing environment. Within ArgusSense, this capability is designed to help security teams identify relationships among devices, users, applications, network activity, and other data points.
The companies said the integrated architecture can support locally defined security and access policies. This allows organizations to configure controls based on their internal requirements rather than relying exclusively on a single centralized policy structure.
The platform also incorporates artificial intelligence-assisted workflows intended to help security teams organize information, identify patterns, and prioritize potential incidents. These tools are designed to support analysts and decision-makers rather than replace human oversight.
“Our mission is to develop a platform that supports real-time cyber operations while helping organizations prepare for evolving security requirements,” said Tony Shala, Chief Executive Officer of Sentinel Cyber Security. “By integrating Rocketgraph with ArgusSense, we are expanding the platform’s ability to examine complex data relationships and support investigations within controlled computing environments.”
Expanding Network-Forensics Capabilities

Graph analytics can help cybersecurity teams understand how separate events, systems, and users may be connected. Rather than reviewing each data point independently, graph-based technology organizes information according to the relationships between those data points.
This approach may help investigators examine activity across large and complicated digital environments. Potential applications include reviewing network behavior, tracing the movement of data, investigating security incidents, and identifying relationships that may not be immediately visible through conventional search methods.
Rocketgraph was founded by former Cray Supercomputing executives and commercializes technology originally developed at Pacific Northwest National Laboratory. The company focuses on graph analytics for applications involving large and interconnected datasets.
“When we built Rocketgraph, our goal was to make extreme-scale graph analytics fast enough and self-contained enough to operate in a range of environments, including privately managed systems,” said Brock Alston, Chief Executive Officer of Rocketgraph. “Seeing the technology incorporated into ArgusSense reflects the type of complex cybersecurity application it was designed to support. We are pleased to work with Tony and the Sentinel team as they continue developing the platform.”
The integration is also intended to support organizations reviewing the use of generative artificial intelligence within their internal systems. By mapping relationships among applications, data sources, users, and network activity, the platform may provide security teams with additional visibility into how AI tools interact with sensitive information.
A Collaborative Approach to Cybersecurity Analysis
Sentinel and Rocketgraph described the integration as part of a broader effort to help cybersecurity professionals manage increasingly complex digital environments.
As organizations introduce more connected systems, cloud services, automated tools, and artificial intelligence applications, security teams must review a growing number of relationships among users, devices, software, and data. The companies believe that combining network-forensics tools with graph analytics can help analysts organize this information and investigate incidents more efficiently.
The integration does not eliminate the need for trained cybersecurity professionals. Instead, it is designed to provide them with tools that can assist in reviewing interconnected data, recognizing patterns, and making informed response decisions.
Sentinel plans to continue developing ArgusSense for organizations operating across commercial, infrastructure, and security-sensitive environments.
About Sentinel Cyber Security
Sentinel Cyber Security, LLC develops hardware and software for network forensics and cybersecurity analysis. Through its ArgusSense platform and Security Operations Center support, the company provides tools intended to help organizations examine network activity, investigate cybersecurity incidents, and manage data across complex digital environments.
To learn more visit the website at Sentinel Cyber Security.
About Rocketgraph
Rocketgraph develops graph analytics technology for organizations working with large and highly connected datasets. Founded by former Cray Supercomputing executives, the company commercializes technology originally developed at Pacific Northwest National Laboratory. Its applications include cybersecurity, forecasting, fraud analysis, and other data-intensive operations.
To learn more visit the website at Rocketgraph.











