Capability

AI Evaluation & Red Teaming across India

Adversarial testing and evaluation harnesses that find where your AI breaks before your customers do.

Industries
12
Stack options
7
Typical first release
6 weeks

What ai evaluation & red teaming means when we build it

Prompt injection is not theoretical once your system reads untrusted content, email, web pages, uploaded documents are all attack surface.

We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Multi-model by default, so a provider outage is a routing decision rather than an incident. Six weeks to something running in production, not six quarters to a strategy document.

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

Who this is for

We usually work with AI leads, security teams, risk officers and product owners, the people who own the outcome rather than the tooling decision.

Questions we get asked

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.

Considering ai evaluation & red teaming?

Tell us the workflow and the constraint. We will tell you honestly whether it is worth building.

Or email bd@dtrasglobal.com · call +91 74118 77878