Direct injection
Attempts inside the user's own prompt to override instructions, reveal hidden context, or bypass safety behavior.
Prompt Injection Testing
Test whether the product obeys the user, the attacker, or the system.
Qualura tests AI products for prompt injection, instruction override, tool misuse, data exfiltration, hidden prompt exposure, and workflow bypasses. This is especially important for agents, RAG systems, copilots, and products that connect LLMs to private data or external tools.
Prompt injection is a product risk, not only a model risk
The same model can be safer or more dangerous depending on product design. Retrieval, tools, memory, permissions, and UI flows decide whether a prompt injection attempt becomes a harmless refusal or a real product failure.
We test direct and indirect prompt injection paths, including user prompts, retrieved documents, uploaded files, tool outputs, and multi-turn social engineering.
Prompt injection coverage
Focused coverage for teams that need evidence, not generic QA theater.
Indirect injection
Instructions hidden inside retrieved content, uploaded files, documents, web pages, or tool outputs.
Tool misuse
Attempts to make the agent call tools incorrectly, skip approval, access unrelated data, or perform unintended actions.
Data exposure
Hidden prompt leakage, cross-user data leakage, memory leakage, and sensitive context extraction.
Boundary testing
Conflicting instructions, role confusion, system prompt pressure, and chained attack prompts.
Recovery behavior
Whether the product detects the attempt, refuses safely, explains clearly, and preserves workflow integrity.
What you receive
We document each injection attempt with input, system behavior, observed output, and business impact.
We classify issues by attack path: direct, indirect, tool-based, retrieval-based, or state-based.
We recommend product-level mitigations such as validation gates, tool permissions, source isolation, UI warnings, and safer workflow design.
What you get
- Prompt injection test matrix
- Direct and indirect attack findings
- Tool misuse findings
- Data exposure scenarios
- Severity-ranked bug report
- Mitigation recommendations
Related services
AI Agent Testing
Validation for tool use, memory, state, permissions, and agent workflows.
AI Safety Testing
Safety, abuse, refusal, and harmful-output testing for AI products.
RAG Testing
Grounding, retrieval, citation, and answer-quality testing for RAG systems.
FAQ
Common questions before we scope the work.
Do you test uploaded documents for hidden instructions?
Yes. Uploaded files and retrieved documents are common sources of indirect prompt injection risk.
Is prompt injection only relevant for agents?
No. It matters for chat, RAG, copilots, document workflows, and any product where untrusted content reaches the model.
Can you guarantee prompt injection cannot happen?
No serious tester should promise that. We identify practical failure paths and help reduce the highest-risk exposures.
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