HPE Zerto announced an agentic troubleshooting system powered by Amazon Bedrock that runs entirely within the customer's on-premises environment, enabling intelligent diagnosis of disaster recovery issues without data leaving the facility.

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HPE Zerto Builds Agentic Troubleshooting System on Amazon Bedrock Running On-Premises

Overview

FAQ

What is an agentic troubleshooting system?

It's a system where multiple AI agents collaborate to diagnose technical issues automatically, rather than relying on pre-scripted scenarios, allowing deeper contextual understanding and dynamic solutions.

How does HPE Zerto's system work on Amazon Bedrock within the customer environment?

The system is deployed locally in the customer's data center using Strands Agents, where agents operate on disaster recovery data directly without sending it to the cloud, while leveraging Amazon Bedrock's reasoning capabilities.

Why is this important for MENA enterprises?

It helps organizations with strict data sovereignty requirements (like banks and government entities) adopt generative AI without compromising data privacy, while improving disaster recovery efficiency.

Can organizations in the region apply this model to other use cases?

Yes, the architecture is adaptable to other enterprise use cases like infrastructure monitoring or incident management, provided contextual local data is available.

Source: AWS Machine Learning

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