"Power-Native" sovereign AI stack

 

AIMLUX.ai Proposes:  Equitus.ai EcoSystem and RocketGraph xGT Threatworx creates a "Power-Native" sovereign AI stack. 

For IBM Power10 and Power11 users, this integration transforms the server from a standard database host into a high-speed Xplainable AI (XAI) and Threat Intelligence hub.

By leveraging the Matrix Math Accelerator (MMA) on Power10/11, these tools eliminate the need for external GPUs while processing massive, complex datasets in real-time.

For an IBM Power user, this combination means you are no longer just storing data; you are running a Self-Constructing Knowledge Ecosystem. 

Equitus  (IIS) ingests and structures the "messy" data, while RocketGraph and Threatworx hunt through that data at lightning speed to stop cyberattacks before they manifest, all while maintaining the strict security and performance standards of the Power platform.

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1. Data Intelligence: Equitus IIS Fusion (KGNN/MCP)

The Intelligent Ingestion System (IIS) and Knowledge Graph Neural Network (KGNN) serve as the foundation.

• Automated Contextualization: Instead of manual ETL, the system uses Multi-Cluster Processing (MCP) to ingest disparate data sources and automatically build a "Knowledge Graph."

• MMA Optimization: On Power10/11, KGNN runs its inference engines natively. This allows for high-speed "link analysis" to find hidden connections between entities without the data ever leaving the secure memory of the Power system.

2. Advanced Security: Arcxa (NNX) and ArcXOS (ICAM)

These modules provide the Explainable Operations Security (Xplainable OpsSec) layer.

• Arcxa (NNX): Focuses on Neural Network eXchange and deep learning performance, ensuring that AI models are "traceable."

• ArcXOS & ICAM: By integrating Identity, Credential, and Access Management (ICAM) with a knowledge graph, the system doesn't just see who is logging in, but why their behavior might be anomalous based on their relationship to other assets.

• EVS (Equitus Video Sentinel): Ingests real-time video feeds directly onto the Power server. It uses the Power10/11 processor to detect physical security threats (e.g., unauthorized personnel in a data center) and fuses that video metadata into the central knowledge graph.

3. The "Force Multiplier": RocketGraph xGT & Threatworx

While Equitus builds the graph, RocketGraph xGT is the engine that queries it at an extreme scale.

• Massive Graph Traversal: RocketGraph xGT is designed to handle hundreds of billions of "edges" (connections). On a Power11 server with up to 64TB of shared memory, it can perform deep-neighborhood searches that would crash traditional graph databases.

• Threatworx Integration: This adds a layer of Attack Surface Management. It maps your specific assets (from Equitus IIS) against live vulnerability feeds.

• The Result: It identifies "Toxic Combinations"—for example, an internet-exposed server that has a critical vulnerability and admin privileges—and provides automated remediation scripts.

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How This Enables IBM Power 10/11 Users

Feature	Impact on Power 10/11 Users
Sovereign AI	Runs entirely on-premise without cloud dependencies, ensuring data privacy and regulatory compliance.
GPU-Free AI	Uses the Power MMA to run KGNN and EVS video analytics, saving significantly on hardware costs and energy consumption.
Real-Time Remediation	RocketGraph + Threatworx reduces threat research time from hours to under 5 minutes per alert.
Explainability	ArcXOS provides the "why" behind every security alert, making AI decisions transparent for auditors and security teams.

IBM Power 11 users, this combination means you are no longer just storing data; you are running a Self-Constructing Knowledge Ecosystem. 

Equitus: ArcXA ingests and structures the "messy" data, while RocketGraph and Threatworx hunt through that data at lightning speed to stop cyberattacks before they manifest, all while maintaining the strict security and performance standards of the Power platform.

5. Automated Data Structuring (Equitus KGNN)

 

• Ingestion: Equitus KGNN acts as a "Self-Constructing" layer that automatically links, correlates, and maps disparate data across your fragmented landscape (legacy systems, files, etc.).
• KGNN Structure: Converts messy raw data into a structured knowledge graph (RDF triple store) without requiring tedious manual ETL processes.
• Native Power Usage: Runs natively on IBM Power10/11 and AIX, utilizing the Math Matrix Accelerator (MMA) for high-performance AI workloads without GPUs. 

6. High-Speed Graph Analytics (RocketGraph)

• Lightning-Fast Queries: Rocketgraph's xGT platform operates in-memory to traverse billions of relationships in seconds, rather than hours, identifying complex patterns that traditional databases miss.
• Unmatched Scale: Handles large-scale graphs (hundreds of billions of edges) on Power10 servers, offering 1.6x to 2.5x faster performance than x86 alternatives.
• AI-First Experience: Uses Generative AI (via "Mission Control") to allow analysts to query data using natural language, translating it automatically into optimized Cypher queries. 

7. Proactive Cyber Defense (Threatworx)

• Continuous Exposure Management: Threatworx integrates with the graph to map asset exposure (SBOM/network) against live exploit signals to identify which threats pose the biggest risk (the "blast radius").
• Predictive Security: Instead of waiting for breaches, it hunts for weaknesses and vulnerabilities, providing high-fidelity data to stop cyberattacks before they materialize. 

8. The Combined "Power" Value

• Maximum Security: Keeps sensitive/classified data on-premises (air-gapped capable) on IBM Power, aligning with NIST cybersecurity frameworks and utilizing Power Cyber Vault for rapid ransomware detection.
• "Blue" Synergy: Leverages IBM Watson and Power's high-thread count to keep data "Blue" (within the trusted IBM ecosystem), maximizing ROI on existing IBM investments.
• Unified Action: The combination enables you to visualize "the blast radius" with RocketGraph while patching it with Threatworx, all on a secure Power platform.