Test beyond the happy path
Challenge assumptions about instructions, information access and tool execution with scenarios tied to your application.
Find practical weaknesses through focused adversarial testing.
Request an assessmentAn application can work as designed and still respond poorly to deliberate manipulation. Our AI security testing explores the model, its surrounding controls and connected tools to discover exploitable behavior and give your team evidence they can act on.
Challenge assumptions about instructions, information access and tool execution with scenarios tied to your application.
Record the conditions, observed behavior and practical impact so engineering teams can understand and address each issue.
Review how external instructions and data influence application behavior across the workflow.
Examine the context, data and trust assumptions that shape decisions and responses.
Test important security boundaries with practical scenarios and document what happens.
Connect the review to the frameworks, services and engineering practices your team uses.
A focused review of the controls, connections and behaviors that matter to your application.
Request an assessmentEstablish the context behind the system and the decisions it makes.
Understand the boundaries and assumptions behind important actions.
Review practical risks in the context of your application.
Give your team evidence they can reproduce and understand.
Translate findings into focused engineering improvements.
“A security assessment should make the next decision clearer. We connect technical findings to your application, your priorities and the work your team can take forward.”
Practical perspectives for teams building and operating AI systems.
Tell us what you are building and the security questions your team needs to answer.
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