When an AI agent can act on a production server at a bank or a hospital, access to a capable foundation model is only the starting point. Recent public incidents, in which autonomous agents took destructive actions their operators never intended, show that the real risk is rarely the model alone. It’s an agent holding more authority than its task requires, with nothing in the architecture to stop it. Avoiding that starts with a substrate that governs model access at the infrastructure level.

Amazon Bedrock provides that substrate. Through a single managed interface, it gives DXC OASIS access to multiple foundation models: Anthropic Claude, Amazon Nova, Meta Llama, and open-weight families. Amazon Bedrock Guardrails enforce content filtering, personally identifiable information (PII) redaction, and denied-topic policies uniformly across every model. AWS PrivateLink keeps inference traffic within the customer’s virtual private cloud (VPC), and serverless scaling avoids self-managed GPU infrastructure as a failure point. Because these are system-level controls rather than bolt-ons, they gave DXC Technology a governed foundation for what no model layer can deliver on its own: a trusted harness that orchestrates, governs, and audits AI agents across enterprise IT operations at scale.

Model availability varies by AWS Region. See Supported models by AWS Region in Amazon Bedrock.

DXC Technology runs managed IT services for some of the world’s most regulated organizations: banks, hospitals, and government agencies. With more than 115,000 employees across 70 countries, DXC operates mission-critical systems where resilience and governance are non-negotiable. When DXC set out to build DXC OASIS, the harness for mission-critical IT operations, the team separated the problem into two layers.

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