Monday, April 27, 2026

Equitus.ai KGNN, RocketGraph xGT, and Threatworx

 




AIMLUX.ai Consulting Solutions (ACS) Proposes: Combination of Equitus.ai KGNN, RocketGraph xGT, and Threatworx creates a powerful "Data-to-Defense" pipeline specifically optimized for the high-memory, multi-threaded architecture of IBM Power 10 and Power 11 systems.

Leveraging the hardware-level AI acceleration (MMA) of Power 10 and the quantum-safe security of Power 11, this trio provides three primary benefits:


1. Unified "Zero-ETL" Attack Surface Mapping


Equitus.ai’s Knowledge Graph Neural Network (KGNN) acts as the automated "ingestion engine." It bypasses the need for manual data mapping by autonomously structuring raw enterprise data into a semantically rich format.


Power11 Benefit: On IBM Power systems, KGNN utilizes Matrix Math Accelerators (MMA) to perform this ingestion without needing external GPUs.


  • The Workflow: Once KGNN structures the data, RocketGraph xGT (an HPC graph engine) indexes it instantly. This allows IBM Power users to search across their entire infrastructure—from code repositories (via Threatworx) to live server assets—using natural language queries instead of complex code.



2. High-Speed "Blast Radius" Analysis


Traditional security tools often fail at scale because they can’t map how one vulnerability leads to another. RocketGraph xGT is designed to handle billion-edge graphs in memory, which aligns perfectly with the 64 TB shared memory capacity of high-end IBM Power servers.


  • The Collaboration: Threatworx injects real-time threat intelligence (CVEs, exploits, and dark web activity) into the graph.


  • The Outcome: Users can visualize the "blast radius" of a zero-day threat in seconds. Because the xGT engine is compiled to utilize the Power architecture's massive thread count, it can traverse these complex paths up to 2.5x faster than standard x86 system 



3. Closed-Loop "Code-to-Cloud" Remediation


The integration moves beyond just identifying risks to fixing them autonomously. This is critical for Power 11 users who prioritize autonomous operations and high uptime.


  • Intelligent Prioritization: Threatworx uses its Attenu8 AI engine to filter out "theoretical" risks. If RocketGraph shows that a vulnerable asset has no path to a "crown jewel" (critical system), the risk is automatically downgraded.

  • Automated Action: For high-priority risks, the system can generate AI-validated remediation scripts. On IBM Power 11, which features enhanced cyber resilience and quantum-safe cryptography, these fixes can be deployed with high confidence, ensuring that security patches don't disrupt mission-critical workloads.







Feature

Equitus.ai KGNN

RocketGraph xGT

Threatworx

Primary Role

Data Structuring & AI Readiness

High-Performance Graph Analytics

Threat Intel & Remediation

Power 10/11 Optimization

Uses MMA for GPU-free AI

Scales to 64TB RAM & High Threads

Supports Power-specific asset scans

User Impact

No manual data prep (Zero-ETL)

Instant "Blast Radius" visibility

AI-generated scripts to fix vulns








How familiar is your team with utilizing the Matrix Math Accelerators (MMA) on your current Power hardware?

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