AIMLUX Proposes: Equitus.ai ArcXA (nnx), Rocketgraph (xGT), and ThreatWorx on IBM Power 10 and Power 11 platforms creates a high-performance, private AI stack specifically engineered for mission-critical security and data sovereignty.
By combining these technologies, organizations (especially those in defense, finance, and critical infrastructure) can move from reactive security to proactive, "semantic-aware" defense.
1. The Technology Stack: How They Work Together
This ecosystem bridges the gap between raw data, complex relationship mapping, and actionable threat intelligence.
Equitus.ai ArcXA (nnx): The Intelligent Ingestion System. ArcXA acts as the "brain" that ingests massive, disparate data sets—source code, logs, documents, and databases—and converts them into a Knowledge Graph Neural Network (KGNN).
It focuses on semantic intent (what the data means). Rocketgraph xGT: The Scale Engine. xGT is a property graph engine designed for extremely large in-memory graphs.
It provides the "brute force" needed to search through billions of relationships in milliseconds, allowing ArcXA's logic to scale across massive datasets. ThreatWorx: The Security Intelligence Layer.
ThreatWorx identifies vulnerabilities across the attack surface (code, containers, cloud). By feeding ThreatWorx data into the ArcXA/Rocketgraph graph, security becomes "context-aware."
2. The Power of IBM Power 10/11
For these tools, the underlying hardware isn't just a commodity; it’s a performance multiplier.
Memory Bandwidth & Capacity: Rocketgraph xGT relies on large in-memory graphs.
IBM Power10 and Power11 offer massive memory footprints (terabytes of RAM) and superior bandwidth compared to standard x86 servers, allowing for "live" analysis of global-scale networks. On-Chip AI Acceleration (MMA): Power10/11 feature Matrix Math Accelerators (MMA).
ArcXA (nnx) can utilize these to run neural network inferences directly on the CPU without needing power-hungry GPUs, which is critical for edge or high-security data centers. Security & Isolation: The "Logical Partitioning" (LPAR) capabilities of Power systems allow you to run the entire stack in a "Zero Trust" hardware enclave, ensuring that your AI training data never leaks between departments.
3. Benefits for Users & Consulting Partners
Integrating this stack provides a unique value proposition for enterprise and government clients.
For IBM Power 10/11 Users:
Private AI (Data Sovereignty): Run advanced RAG (Retrieval-Augmented Generation) and Knowledge Graphs on-premise.
No data ever leaves the secure Power environment to a public cloud. Reduced TCO: By running "GPU-free" AI on Power10/11, organizations can reduce hardware sprawl and energy costs while maintaining higher throughput for graph queries.
Traceability & Compliance: Every decision made by the AI can be traced back through the graph (ArcXA) to the specific threat identified (ThreatWorx) and the specific memory flow (Rocketgraph).
For Consulting & Expert Labs:
Rapid Resolution Services: Consultants can deploy the Equitus "Rapid Resolution" kit on a client's existing Power infrastructure to solve complex data fusion problems in 30–60 days.
Legacy Modernization: Use ArcXA to ingest legacy COBOL or Java codebases on Power Systems, mapping their logic into a modern graph to identify security gaps and technical debt.
Mission Impact Mapping: Consultants can help clients move beyond "is the server up?" to "what mission capability is at risk?" by mapping network vulnerabilities (ThreatWorx) to business functions (ArcXA).
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