04 / ORBITA MORE SECURE TOMORROW
14 / AI application pentesting

Test the application around your AI.

Assess how prompts, retrieval, identity, and integrations interact in your customer-facing AI or internal copilot.

Discuss your requirements

Specialist delivery and availability are confirmed during scoping.

AI applications

A clear scope.
A useful outcome.

A model response is one part of the application. Trace a request through authentication, tenant boundaries, retrieval-augmented generation (RAG), external tools, and output handling. Test realistic abuse cases with approved accounts and synthetic or authorized data, then give engineering owners reproducible evidence and a focused remediation plan. Agree application versions, testing windows, and retest scope before work begins.

What we cover

  • Authentication, authorization, and tenant isolation
  • Direct and indirect prompt injection across trusted and untrusted inputs
  • RAG document permissions, retrieval leakage, and data exposure
  • Output handling, integration permissions, and resource-abuse controls

What you take away

  • Application threat model and agreed test coverage
  • Validated findings with reproduction conditions and business impact
  • Engineering remediation backlog with accountable owners
  • Retest results, when included in the agreed scope

The final scope, deliverables, and timing are agreed for your engagement.

FROM FIRST CONVERSATION TO FOLLOW-THROUGH
01

Understand

Start with your business, environment, and the decisions you need to make.

02

Assess

Agree the scope and examine the controls, configurations, and exposures that matter.

03

Prioritize

Translate findings into clear actions, accountable owners, and realistic next steps.

04

Improve

Support remediation, review the evidence, and keep the programme moving forward.

START A CONVERSATION

Let’s talk about ai application pentesting.

Tell us what you need to protect. We’ll help turn the question into a clear scope of work.

Get in touch