Sentinel Cyber Security integrates Rocketgraph for post-quantum network forensics

Sentinel Cyber Security said June 25, 2026, that it has integrated Rocketgraph into its ArgusSense platform to speed real-time cyber defense and network forensics. The companies say the combined system can analyze hundreds of billions of data connections on a single machine, aiming to improve sovereign AI operations, compliance and supply-chain assurance.

Why it matters: - Sentinel Cyber Security is trying to strengthen post-quantum cyber defense with faster, cloud-free analytics for national security, critical infrastructure and commercial users. - The integration is designed to reduce investigation time, limit cloud exposure and improve compliance and supply-chain assurance. - Sentinel says the setup supports sovereign AI operations by keeping sensitive enterprise data out of public cloud environments.

What happened: - Sentinel Cyber Security announced the successful integration of Rocketgraph into its ArgusSense cyber defense platform. - The announcement said the combined system is built for real-time threat detection and network forensics. - The companies said the platform targets AI sovereignty, supply-chain assurance and faster investigations. - Tony Shala, Sentinel's CEO, said the integration is meant to help enterprises defend against state-level cyber threats while handling complex data without downtime.

The details: - Rocketgraph connects third-party AI applications to Sentinel's AI Model Data Governance layer. - That layer is intended to isolate sensitive enterprise data and keep it from being sent directly to commercial AI models. - The architecture uses local compliance policies with multi-level security access controls instead of a single rigid policy stack. - The integration uses a blockchain-based encryption network to model and enforce data control. - Built-in generative AI and agentic functions support autonomous incident response analytics. - Sentinel says the no-code workflow is meant to remove human engineering bottlenecks. - Rocketgraph was founded by former Cray Supercomputing executives and commercializes software developed at Pacific Northwest National Laboratory. - The company says the system runs on a single-computer deployment without relying on traditional server clusters. - Sentinel said the integrated platform is 300x to 1,000x faster than legacy graph platforms. - In baseline testing on a 24TB system, the platform analyzed 300 billion relational connections within hours. - The system performs graph-wide scanning across an entire environment rather than narrow indexed searches. - Sentinel said that broader scanning provides visibility across generative AI implementations. - Rocketgraph CEO Brock Alston said the engine was built for extreme-scale graph analytics in sovereign, cloud-free environments.

Between the lines: - The partnership shows how cybersecurity vendors are positioning high-performance graph analytics as a core tool for post-quantum defense. - The emphasis on sovereign, no-cloud deployment suggests demand from customers that want tighter control over sensitive data and compliance boundaries. - The performance claims, if sustained in production, could shift investigation workflows from targeted searches to broader environment-wide analysis.

What's next: - Sentinel and Rocketgraph appear to be positioning ArgusSense as a reference architecture for national security, infrastructure and enterprise deployments. - The companies are likely to use the integration to expand adoption of real-time, cloud-free cyber operations. - Sentinel said 24/7 global Security Operations Center support remains part of its broader platform offering.

The bottom line: - Sentinel is betting that post-quantum security will depend not just on stronger defenses, but on much faster, sovereign-scale data analysis.