Equitus.us EVS (Equitus Video Sentinel) with Alibi Security

 

EVS DEMO VIDEO

EYES and BRAIN: EVS DEMO VIDEO

    

Equitus.us EVS (Equitus Video Sentinel) with Alibi Security combines military-grade artificial intelligence with commercial video surveillance hardware.

In short: Alibi provides the "eyes" (cameras and recording infrastructure), while Equitus EVS provides the "brain" (advanced analytics and automated threat detection).

Structure outline how these two systems would technically and operationally work together.

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1. The Roles of Each System

• Alibi Security (The Hardware Layer):

  • Role: Captures the raw video footage.

  • Components: Alibi IP cameras, Network Video Recorders (NVRs), or Alibi Cloud VS (Video Surveillance as a Service).

  • Function: Ensures reliable 24/7 video recording, storage, and live viewing.

• Equitus EVS (The Intelligence Layer):

  • Role: Ingests the video feed to perform high-speed, military-grade analysis.

  • Components: Equitus Video Sentinel software (running on an on-premise server, edge appliance, or private cloud).

  • Function: Turns raw pixels into data. It performs object recognition, behavior analysis (e.g., loitering, perimeter breach), and "pattern of life" analysis to detect anomalies that standard cameras miss.

2. How They Connect (Technical Architecture)

Since Alibi cameras and recorders generally support industry standards (like ONVIF and RTSP), Equitus EVS can "watch" the streams generated by the Alibi system.

Scenario A: On-Premise Integration (Low Latency / High Security)

This is the most likely setup for critical infrastructure or secure facilities.

1. Source: Alibi IP Cameras connect to the local network.

2. Stream: The Alibi NVR or cameras output a standard video stream (RTSP/ONVIF).

3. Ingestion: An Equitus Edge Appliance or server on the same network connects to these streams.

4. Processing: Equitus EVS processes the video in real-time locally (no video needs to leave the building for analysis).

5. Output: Alerts are sent to the security team's dashboard.

Scenario B: Cloud/Hybrid Integration

If using Alibi Cloud VS (powered by Eagle Eye Networks):

1. Source: Video is stored in the Alibi Cloud.

2. Ingestion: Equitus EVS (hosted in a private cloud or data center) connects via API or secure stream forwarding to ingest the footage.

3. Processing: Analytics are run on the cloud-stored video for forensic search or near-real-time auditing.

3. Operational Workflow & Capabilities

By adding Equitus EVS to an Alibi system, you upgrade a standard "recording" system into an "active intelligence" system.

Feature	Alibi Alone (Standard)	Alibi + Equitus EVS (Enhanced)
Detection	Motion detection (pixel change)	Object & Behavior Recognition: Distinguishes between a deer, a human, and a truck. Detects "loitering" vs. "passing by."
Search	"Show me video from 2:00 PM to 4:00 PM."	Forensic Indexing: "Show me all instances of a red truck or male with a backpack in the last 30 days."
Alerting	Alerts on motion (often high false positives).	Anomaly Detection: Alerts only on specific threats (e.g., person climbing a fence, unattended bag) with near-zero false positives.
Pattern of Life	Records what happens.	Learns Norms: Learns that a delivery truck at 10 AM is normal, but a van at 3 AM is an anomaly, and alerts you.

4. Who Is This Solution For?

This integration is typically overkill for a small retail store but ideal for:

• Critical Infrastructure: Power plants or water treatment facilities using Alibi hardware but needing NERC-CIP compliant analytics.

• Government/Defense: Facilities that need "tactical imagery inference" (converting video to intel).

• Large Campuses: Schools or hospitals needing to rapidly search terabytes of Alibi footage for a specific person or vehicle.

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Next Step:

If you are currently running an Alibi system and want to add Equitus analytics, the immediate technical step is to verify that your Alibi NVR or Cameras have "RTSP" (Real-Time Streaming Protocol) enabled.

Would you like me to find the specific RTSP configuration guide for Alibi recorders so you can check if your system is compatible?

PowerGraph "financial core" for mission-critical enterprise AI.

"Power-Up On Prem"

PowerGraph -  a single, highly secure, and performance-optimized "financial core" for mission-critical enterprise AI.

The inclusion of both IBM Power 10/11 and the z/OS environment (running on IBM Z mainframes with Spyre acceleration) suggests a solution that bridges modern, scale-out AI with the world's most reliable system for high-volume transactions and core financial data.

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PowerGraph breakdown of how the components combine to form this template/platform:

1. The Core Data Layer: Equitus KGNN (The Context Engine)

The Equitus Knowledge Graph Neural Network (KGNN) acts as the semantic layer that makes all enterprise data "AI-ready."

• Data Unification: It automatically ingests and unifies fragmented data (both structured and unstructured) from diverse sources, including data residing on the z/OS mainframe, open systems on Power, and hybrid cloud sources.

• Context and Relationships: It transforms this raw data into an interconnected Knowledge Graph, which is crucial in finance for tasks like discovering hidden relationships in fraud networks or mapping complex regulatory compliance requirements.

• RAG Backbone: As an advanced Retrieval-Augmented Generation (RAG) engine, KGNN provides the accurate, traceable, and explainable context required to ground the generative AI models (like Granite) in enterprise facts.

2. The Transactional & AI Infrastructure: IBM Z/z/OS and Power 10/11

The PowerGraph platform is designed to run across two of IBM's most powerful enterprise platforms (Z, Power 10/11), leveraging their respective strengths:

Component	Role in the Financial Core	Key Advantage
IBM Z with z/OS	Core Transaction Processing & Data: Runs the mission-critical core banking applications (CICS, IMS) and holds massive volumes of core financial data.	Unmatched Security & Reliability: Handles up to 70% of the world's transactions with 99.9999% availability and integrates security features like the IBM Crypto Express 8S HSMs for key management.
IBM Power 10/11	Scale-Out Analytics & Open Source AI: Hosts the Equitus KGNN platform itself, along with open-source AI frameworks (running on Linux/Red Hat OpenShift) and large-scale data lake solutions.	High-Performance AI & Flexibility: Provides integrated Matrix Math Accelerator (MMA) engines and high-bandwidth memory, allowing for energy-efficient, rapid AI inferencing outside of the mainframe.

3. The Acceleration Engine: Spyre Chips

The IBM Spyre Accelerator is the key technology that brings Generative AI to both systems without compromising performance or security.

• In-Transaction AI (z/OS): Spyre is available on IBM Z mainframes (like the z17) to perform low-latency inferencing at the speed of a transaction. This is essential for real-time fraud detection or instant risk scoring right where the data and the transaction originate.

• Scale-Out Generative AI (Power11): Spyre is also available for Power11 servers to accelerate large generative and agentic AI models, providing high throughput for demanding use cases like document summarization, complex financial analysis, or code modernization.

4. The Intelligence: Granite 4 (The Reasoning Engine)

The IBM Granite 4.0 Large Language Models (LLMs) provide the generative and reasoning capabilities.

• Agentic Workflows: Granite models are used to create sophisticated AI agents that can reason, follow instructions, and interact with the core systems. For example, a compliance agent can query the KGNN for regulatory context, retrieve a related COBOL program via z/OS Connect, and generate an audit-ready summary.

• Efficiency and Trust: Granite 4.0's hybrid architecture is designed for efficiency and is ISO 42001 certified, aligning with the trust and governance requirements of the financial industry.

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The "Financial Core" Template for Enterprise Deployment

The PowerGraph template creates a fully integrated, Hybrid Core for the financial enterprise:

1. AI Control Plane (MLops): Equitus KGNN serves as the "brain," providing semantic context and RAG for all AI models.

2. Zero-Trust Foundation: Both IBM Z and Power systems enforce security, resilience (e.g., zero planned downtime), and data governance, keeping sensitive data on-premises and secure.

3. Real-Time Action: Spyre acceleration enables Granite models to act and reason instantly, whether it's within a z/OS transaction or on a large-scale Power analytics cluster.

The PowerGraph platform is positioned to be the ultimate architecture for financial institutions that want to adopt the most advanced AI while maintaining the security and reliability of their legacy mission-critical systems.

Would you like to focus on a specific application, like AI-driven compliance or real-time fraud detection, to see the workflow in detail?