Security AI Application Security

Injectionator

Injectionator is a developing AI application-security platform. It helps examine what an application can do through its models, identities, data, permissions, tools, services, and downstream effects.

It supports Viewyonder's evidence-led work, but it is not a prerequisite for an assessment. The method can use manual testing, suitable third-party tools, purpose-built harnesses, Injectionator, or a combination.

Explore the AI Application Security Assessment → Read the bounded HR proof

How it works

Test, understand, and optionally defend

Probe

Probe tests and discovers. It exercises meaningful application paths and connects what the AI surface said with the identities, tools, services, and effects the application actually produced.

Evidence and retesting

The useful output is a bounded explanation: intended behaviour, attempted path, enforcement decision, downstream effect, owning control, correction, and the result of repeating the important test.

Runtime is optional

Runtime can optionally defend or modify a live path. An assessment can instead lead to a correction in identity, authorization, tool permissions, application code, or another suitable control. The assessment does not require Runtime.

Current proof: Read one bounded synthetic HR chatbot example and its limitations.

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