Watsonx has many capabilities as compared to Waston, we think it is better to use Watsonx because we need to unify the management of MaaS360 with EDR and integrate them with other IBM solutions like XDR, this will give the ability for unifies Threat intelligence for all End Point Devices( mobile devices, IoT devices, laptops, desktops, ...etc)

Also, we prefer Watsonx because we may integrate the tracking the customized data of IoT devices with Watsonx, In the future,this will give us the ability to develop our customized Device Support Modules DSM for our customized Network devices and AI workload accelerators.

More details as follows:

IBM wataonx.ai with LLMs like Granite model can be used for End Points Threat Intelligence solutions.

Watsonx.data can be integrated with different data lake houses for structured and unstructured data from mobile devices, IoT devices ( medical devices, Laboratory devices, automotive devices, Robotics, ...etc), Network devices, Computers ( Desktop, Laptops, Servers).

IBM has a great opportunity redesign the cyber security from the device up to the on-premise or cloud computing,

LLM+RAGs with Knowledge graph can be used for the suggested solution

We think it is better to use Edge AI Inferencing in the Edge computing itself depending on the AI Accelerators ( on GPU, FPGA, ...etc).