SECURITY TESTING / ADVERSARIAL

AI & LLM application security assessment

Examine the data, retrieval and tool permissions behind AI assistants and connected workflows.

← All security testing offerings

WHAT WE ASSESS

A clear scope from the start.

Agreed assistant interfaces, retrieval sources and model integrations
Prompt and instruction boundaries, data exposure and tool authorization
Human approval and safeguards for consequential actions

PLAN YOUR ASSESSMENT

Start with your systems and priorities.

Agree targets, access, testing windows and reporting needs with our team.

Discuss this service ↗Read the scoping guide ↗

HOW THE ASSESSMENT WORKS

Understand. Validate. Explain.

Map model, retrieval and tool trust boundaries using synthetic evaluation cases.
Evaluate permitted instruction-manipulation and information-access scenarios.
Review whether tool actions respect user permissions and require appropriate human approval.

YOUR HANDOVER

Findings your team can act on.

AI trust-boundary and test-scenario map
Observed security behaviors and reproducible findings
Guardrail, permission and evaluation recommendations

WHAT TO PREPARE

Make the first discussion useful.

Provide a controlled test environment, model and tool architecture, permitted evaluation data and a list of prohibited actions.

Engagement boundaries

Security assessment is scoped separately from model quality, legal conformity and AI certification. Sensitive production data is excluded from evaluation unless explicitly approved.

YOUR INDUSTRY CONTEXT

Connect testing with your wider needs.

Explore compliance readiness, cybersecurity, AI, infrastructure and training alongside your assessment. Industry recommendations are starting points; the actual scope follows your systems and obligations.