Make sure your AI features can be trusted with your data and your customers.
AI features can follow instructions, read documents and take actions. We check what they can reach, what they can be talked into doing, and where they connect to your systems.
Outcome · Understand what your AI can access and do, and where to set safer limits. Testing runs only inside a scope you approve.
Engagement basis
- AuthorisationWritten scope
- ReportPlain + technical
- Next stepFix, then confirm
AI assistant
- Data
Check-point
- Tools
Check-point
- Users
Connection
The business problem
AI features are often connected to company data and tools. Unlike ordinary software, they respond to natural language, so people can try to steer them in ways nobody planned.
What the service covers
- 01AI applications: the product around the model, including accounts, permissions, APIs and data stores.
- 02Language-model features: chatbots and assistants that answer in natural language.
- 03AI agents and integrations: agents that use tools, plug-ins, internal documents or automated workflows.
The exact scope depends on how your AI system is built and what it is meant to do.
What Vulnetra helps you discover
- 01
A user talking an assistant out of its rules. This is often called prompt injection: crafted instructions that change how an AI behaves.
- 02
An assistant revealing information from documents that a user should not see
- 03
An agent able to take actions, such as sending messages or changing records, with too little oversight
- 04
Connected tools or plug-ins with more permission than they need
- 05
Sensitive data stored in prompts or logs
- 06
App behaviour that trusts AI output without checking it
Why it matters
The more an AI system can reach and do, the more important its limits become. Testing helps you decide where those limits belong.
Who should consider it
Companies launching an AI assistant, connecting AI to internal data, or letting AI take actions for users.
- 01
We learn what your AI system does and what it can access.
- 02
You share an architecture overview, data sources, tools and test accounts.
- 03
We agree boundaries. For example, we do not attack third-party model providers.
- 04
We test realistic scenarios against the agreed scope.
- 05
We deliver findings in plain language, with recommended safeguards.
Deliverables
- Management summary
- Scenarios explained in plain language
- Technical details for engineers
- Recommended safeguards
- Optional retest
Honest limits. No single test removes every AI risk. AI behaviour can vary between runs. We report what we observed in the agreed scope.
Why Vulnetra
- AI risks explained through recognisable examples rather than specialist terms
Common questions
Tell us how your AI feature works.
Tell us what you run and why you need an assessment. We agree the scope together before anything is tested.
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