Aimlux and Cyberspatial: The Network Eye

 

In the high-stakes environment of financial services, the combination of IBM z/OS and Cyberspatial Teleseer creates a powerful "defense-in-depth" architecture. This partnership bridges the gap between the mainframe’s internal "fortress" security and the external network’s complex, often opaque, traffic patterns.

   

1. The Power of the "Inside-Out" and "Outside-In" View

The core of this collaboration lies in how each platform handles data and visibility:

• IBM z/OS (The Secure Core): Provides a "zero-trust" environment for financial transactions.¹ With features like Pervasive Encryption and RACF (Resource Access Control Facility), z/OS ensures that even if data is intercepted, it is unreadable, and only authorized users can touch specific records.²

• Cyberspatial Teleseer (The Network Eye): While z/OS secures the data, Teleseer maps and visualizes the network "terrain" surrounding the mainframe. It uses 100% passive, agentless packet analysis to build a real-time digital twin of the network.³

2. How They Work Together

Financial services users benefit from a unified security posture where the mainframe is no longer a "black box" on the network map.

Feature	IBM z/OS Contribution	Cyberspatial Teleseer Contribution	Combined Benefit
Visibility	Generates detailed logs (SMF records) of internal system activity.	Provides a 3D visual map of all devices communicating with the mainframe.	Eliminates Blind Spots: Admins see exactly who is talking to the mainframe and what they are doing.
Threat Detection	Uses AI-powered processors (Telum) to detect fraud at the transaction level.	Uses behavioral analytics to spot unusual network traffic spikes or unauthorized lateral movement.	Rapid Incident Response: Teams can correlate a transaction anomaly on z/OS with a specific network path identified in Teleseer.
Data Integrity	Encrypts data at rest and in transit using hardware-accelerated crypto.	Validates that traffic is following expected, secure protocols (e.g., ensuring TLS 1.3 is active).	Regulatory Compliance: Easily prove to auditors that financial data is both encrypted and traveling over validated paths.

3. Improving Cyber Resilience

For financial institutions, downtime is not an option. This combination enhances Cyber Resilience by:

1. Mapping Mission-Relevant Terrain: Teleseer identifies "Key Terrain Cyber"—the critical switches and routers that the mainframe relies on.⁴

2. Validating Segmentation: It ensures that the "Air Gap" or logical separation between development and production financial environments is actually intact.

3. Passive Monitoring: Because Teleseer is agentless, it adds zero "overhead" or risk of crashing sensitive mainframe applications, while still providing total situational awareness.⁵

Next Steps

Would you like me to explain how to integrate z/OS SMF logs into a visual analytics platform like Teleseer for deeper forensic analysis?

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Introduction to Teleseer

This video provides an overview of how Teleseer automates network analysis and visualization to help security teams identify risks and protect critical infrastructure. Aimlux.ai with IBM Power 10/11, IBM Z (z17), and the Equitus.us and CyberSpatial suites creates a "sovereign" AI ecosystem specifically designed for the ultra-regulated financial services sector.

By leveraging Global System Integrators (GSIs), this stack is marketed as the solution to the "Data Gravity" problem: bringing AI to the mainframe and core banking systems rather than moving sensitive financial data to the cloud.

1. Hardware Foundation: IBM Power 10/11 and IBM Z with Spyre

The architecture uses a "sidecar" approach where heavy AI processing is offloaded to dedicated hardware while staying within the secure perimeter of the enterprise:

• IBM Power 10/11: Acts as the high-throughput engine for edge and departmental workloads. Its Matrix Math Accelerator (MMA) allows Equitus’s KGNN to run deep learning models natively without needing energy-hungry or unsecure external GPUs.

• IBM Z (z17) with Spyre Accelerator: This is the core for high-volume transaction processing. The Spyre Accelerator (an NPU-based card) allows large language models (LLMs) and agentic AI to run directly on the mainframe. This enables real-time fraud detection during a transaction (at the "millisecond level") rather than as a post-transaction audit.

• z/OS Integration: By running on z/OS, the system maintains the highest levels of "EAL5+" security and pervasive encryption, ensuring that AI-driven insights never leave the encrypted memory space of the bank.

2. Software Intelligence: Equitus.us and CyberSpatial TeleSeer

The software layer transforms raw data into a "Single Source of Truth" (SSoT) through three primary functions:

• Automate (Equitus Fusion/KGNN & Video AI):

  • Fusion (KGNN): Automatically connects disparate data sets (e.g., SWIFT logs, customer KYC records, and market data) into a Knowledge Graph. It automates the "stitching" of data without traditional ETL (Extract, Transform, Load) processes.

  • Video AI (EVS): Automates physical security and threat detection for bank branches and data centers using real-time object classification.

• Authorize (KOGEN & TeleSeer):

  • KOGEN (Governance): Provides the "Guardrails." It ensures that every AI output is traceable back to a source (provenance) and complies with financial regulations like Basel III or Dodd-Frank.

  • CyberSpatial TeleSeer: Automates the Cyber-Authorization process by visualizing the network's digital twin. It identifies vulnerabilities in the communication paths between the Power systems and the Mainframe, authorizing only "clean" pathways for data flow.

• Augment (Equitus 7 & Spyre-driven Agents):

  • Equitus 7 (Geo-Spatial): Augments risk assessment by layering financial transactions over geographic data (e.g., detecting a surge in transactions in a high-risk sanctioned region).

  • Augmented Agents: IBM Spyre enables "Agentic AI" that assists compliance officers by summarizing massive regulatory filings or suspicious activity reports (SARs) in natural language.

3. GSI Marketing Strategy: The "Turnkey Sovereign AI"

Global System Integrators (e.g., Accenture, Deloitte, Kyndryl) market this combined stack to financial institutions using the following value propositions:

• The "Anti-Cloud" Play: For banks that cannot move data to public AI clouds due to sovereignty laws, GSIs pitch this as "Private AI." You get the power of an LLM with the security of a Mainframe.

• Reduced TCO (Total Cost of Ownership): By using Spyre and Power’s MMA instead of massive NVIDIA GPU clusters, GSIs demonstrate a significantly lower energy footprint and reduced hardware complexity.

• Mission-Critical Reliability: GSIs leverage the "five-nines" (99.999%) reliability of IBM Z and Power systems to guarantee that AI-driven security systems won't fail during peak trading hours or market volatility.

• Rapid Deployment: Using Equitus’s micro-services architecture, GSIs promise an "Initial Operational Capability" (IOC) in 30 to 60 days, a massive improvement over traditional multi-year AI projects.

Summary Table for Financial Services

Capability	Technology Component	Financial Use Case
Automation	Equitus KGNN + Power 11	Real-time reconciliation of "Unmatched Transactions."
Authorization	KOGEN + TeleSeer + z/OS	Zero-trust access to "Confidential Computing" memory.
Augmentation	Equitus 7 + Spyre	Geo-spatial risk modeling for global trade finance.
Security	EVS + IBM Cyber Vault	Physical and digital ransomware protection for data centers.