DXC OASIS utilizes Amazon Bedrock to securely route tasks among models such as Anthropic Claude, Amazon Nova, and Meta Llama based on cost, capability, and latency. The architecture pairs this multi-model substrate with a proprietary DXC harness layer that applies human-oversight gates, auditability, and operational runbooks to curb unauthorized automated actions. Since achieving general availability in March 2026, the implementation has decreased average resolution times by 95% across 56 measured use cases. Data protections are maintained by keeping inference traffic within customer virtual private clouds via AWS PrivateLink.
Key points
DXC OASIS allows regulated enterprises to access multiple foundation models through a sin…: DXC OASIS allows regulated enterprises to access multiple foundation models through a single interface without risking vendor lock-in.
Proprietary governance harnesses prevent autonomous AI agents from completing unauthorize…: Proprietary governance harnesses prevent autonomous AI agents from completing unauthorized or destructive actions in live IT environments.
Customer prompts and completions stay strictly inside the AWS data boundary and are never…: Customer prompts and completions stay strictly inside the AWS data boundary and are never utilized to train underlying models.
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Artificial Intelligence
How DXC Technology built a multi-model AI substrate on Amazon Bedrock
This post is co-written with Nick Tamburro of DXC Technology.
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…
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