vlcm

 

Equitus.ai's KGNN, FUSION, and KoGen solutions can integrate with VLCM and its partners by leveraging **white labeling, co-processing, and AI side-car mechanisms** to enhance enterprise offerings, particularly in areas like endpoint visibility (EEV) and endpoint vulnerability workflows (EVW). Here's how this collaboration could work:

### 1. **White Labeling**

   - Equitus.ai solutions can be rebranded under VLCM or its partners' names, enabling seamless integration into existing IT products and services without requiring in-house AI development. This approach allows VLCM to offer advanced AI capabilities while maintaining its brand identity[2][8].

### 2. **Co-Processing**

   - The co-processing model enables Equitus.ai's AI engines to work alongside existing enterprise systems to optimize data processing and decision-making. For example:

     - KGNN (Knowledge Graph Neural Networks) can enhance data correlation and analysis across cybersecurity or endpoint management platforms.

     - FUSION can integrate sensor data from various sources, such as IoT devices or enterprise networks, to provide real-time insights[3][6].

### 3. **AI Side-Car Integration**

   - The AI side-car model allows Equitus.ai solutions to act as auxiliary processors that analyze data streams in real time without disrupting core systems. This setup can improve **endpoint visibility (EEV)** by continuously monitoring devices for vulnerabilities or anomalies and automating responses through workflows like EVW[7][6].

### 4. **Enhancing EEV and EVW**

   - **Endpoint Visibility (EEV):** KGNN can analyze large datasets to identify patterns and vulnerabilities across endpoints, providing actionable insights to enhance security.

   - **Endpoint Vulnerability Workflows (EVW):** KoGen can automate workflows for detecting, prioritizing, and remediating endpoint vulnerabilities using AI-driven decision-making tools.

By integrating these advanced AI capabilities through white labeling, co-processing, and side-car models, VLCM can expand its portfolio with scalable, innovative solutions that meet the growing demand for enterprise AI while maintaining flexibility and brand alignment[2][7].

Citations:

[1] https://blog.vlcm.com/blog/vlcms-cybersecurity-partnerships-part-1

[2] https://www.myaifrontdesk.com/blogs/exploring-the-white-label-ai-business-model-opportunities-and-challenges

[3] https://www.techbriefs.com/component/content/article/45335-artificial-intelligence-in-cars-inside-the-brains

[4] https://www.vlcm.com/partners

[5] https://www.emergingtechbrew.com/stories/2024/05/14/how-ai-is-changing-the-car-buying-process

[6] https://www.epilog.com

[7] https://www.businesswire.com/news/home/20230531005342/en/Syxsense-and-VLCM-Partner-to-Bring-Comprehensive-Endpoint-Security-and-Management-Solutions-to-Customers

[8] https://www.tchek.ai

[9] https://blog.vlcm.com/blog/backup-and-recovery-partners

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