Unsafe output
Harmful instructions, sensitive transformations, policy boundary failures, and unsupported high-stakes advice.
AI Safety Testing
Safety testing has to reflect real product behavior.
Qualura tests AI products for unsafe outputs, refusal quality, prompt injection, abuse paths, harmful transformations, data leakage, and inconsistent guardrails. We focus on the safety failures users can actually trigger inside your product.
Guardrails are only useful if they survive real use
A safety policy can look strong in documentation while the product behaves inconsistently across platforms, prompts, file types, or workflows.
We test safety boundaries through realistic user journeys, adversarial prompts, benign-but-sensitive requests, and repeated attempts. The goal is to find where the product over-refuses, under-refuses, or explains risk poorly.
Safety areas we evaluate
Focused coverage for teams that need evidence, not generic QA theater.
Refusal quality
Whether refusals are consistent, useful, proportionate, and not triggered for safe requests.
Prompt injection
Attempts to override system instructions, reveal hidden data, misuse tools, or bypass workflow controls.
Data leakage
Private data exposure across users, sessions, documents, tools, memory, and generated outputs.
Cross-platform consistency
Differences between mobile, desktop, browser, model versions, and alternate entry points.
Escalation and recovery
Whether the product gives users safe next steps when it cannot comply.
How we report safety findings
We separate product defects from expected policy behavior.
We document exact prompts, environment, model behavior, and visible user impact.
We prioritize findings by likelihood, severity, user trust impact, and launch risk.
What you get
- Safety risk summary
- Refusal quality analysis
- Prompt injection findings
- Data leakage scenarios
- Cross-platform safety differences
- Recommended guardrail fixes
Related services
Prompt Injection Testing
Adversarial testing for prompt injection, data leakage, and tool misuse.
Hallucination Testing
Testing for fabricated answers, unsupported claims, and false confidence.
AI Agent Testing
Validation for tool use, memory, state, permissions, and agent workflows.
FAQ
Common questions before we scope the work.
Is this a full red-team engagement?
No. It is product-focused AI safety testing. We can cover red-team style prompts, but the goal is launch readiness and user-facing risk.
Do you test medical, legal, or financial workflows?
Yes, when scoped carefully. We focus on product behavior and QA evidence, not legal or regulatory advice.
Can safety testing happen quickly?
Yes. A focused safety pass can happen inside the 5-Day AI Risk Audit Sprint.
Work With Us
Need AI testing before your product ships?
Book a 30-minute discovery call. We will understand your product, identify the riskiest AI surfaces, and recommend whether a sprint or custom engagement fits best.
Qualura
Senior-led. Evidence-first. NDA-bound.
We test AI products, LLM features, agents, RAG systems, and automation workflows the way real users interact with them.
infas@qualura.com