AI Integration Testing (LLM & ML)
We ensure the predictability of AI in your product. We test AI features for hallucinations, prompt injections, and logic in handling non-standard requests. We guarantee safe user interaction with your algorithms and validate AI output quality.
What We Test
- Hallucination detection and output accuracy testing
- Prompt injection and jailbreak resistance testing
- Edge case and adversarial input testing
- Response consistency and quality validation
- Bias and fairness evaluation
- Fallback behavior and error handling checks
Our Process
We design test scenarios covering normal usage, edge cases, and adversarial inputs. We evaluate AI output quality, consistency, and safety. Our reports include specific examples of failures with recommendations for improving model behavior and guardrails.
Frequently Asked Questions
What types of AI systems do you test?
We test LLM-powered chatbots, AI assistants, recommendation engines, content generation tools, and any product with ML-based features. Our methodology covers both the AI logic and its integration with your application.
How do you test for prompt injections?
We use a comprehensive library of known attack patterns plus creative adversarial testing. We attempt to bypass system prompts, extract sensitive data, and manipulate AI behavior. Each vulnerability is documented with a severity rating.
Can you test AI features in production?
Yes, we can test in both staging and production environments. For production testing, we use carefully designed non-destructive test cases that simulate real user behavior without affecting your live data.