platform · AWS
AI Evaluation & Red Teaming with AWS Bedrock
AI Evaluation & Red Teaming built on AWS Bedrock, chosen where it genuinely fits, and swapped where it does not.
- Category
- platform
- Vendor
- AWS
- Alternatives we also use
- 6
Why AWS Bedrock for this
Orqent Labs red-teams AI systems before launch and leaves behind the evaluation harness your team runs on every change.
AWS Bedrock is strongest at regional data residency and native IAM integration for enterprises already on AWS. For ai evaluation & red teaming that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: model availability lags direct provider APIs by weeks to months. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
You own the code, the models where they are open-weight, and the documentation to run it without us.
The honest assessment
- What it is
- Managed multi-model access inside your AWS account, with data staying in your region.
- Strongest at
- regional data residency and native IAM integration for enterprises already on AWS
- Trade-off
- model availability lags direct provider APIs by weeks to months
- Category
- platform
We are not a reseller for AWS and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Evaluation set built from your real domain
- Adversarial prompts including injection and jailbreak attempts
- Hallucination rate measured, not estimated
- Bias testing where the use case warrants it
- Regression suite wired into your CI
- Findings report with severity and remediation
Questions
What is prompt injection?
An attack where instructions hidden in content the model reads, an email, a web page, an uploaded file, override your intended behaviour. It matters the moment your system processes anything a user or third party supplies.
How do you measure hallucination?
Against a labelled question set from your domain with verified answers, reported as a rate rather than an impression.
Do we need this if we use a major provider?
Yes. Provider safety training covers general misuse; it knows nothing about your specific tools, data and permissions, which is where the real risk sits.
Alternatives for ai evaluation & red teaming
Same capability, different stack. Each page states its own trade-off.
Building with AWS Bedrock?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878