Understand AI testing
An AI testing tool and an application with AI features are different things. The first describes how a test runs. The second describes what needs assessing. Your scope should make both clear.
Both can involve AI. They answer different buying questions.
How the test runs
AI is used to help investigate software. The target could be an ordinary web application with no AI features. Capabilities depend on the tools, controls and people involved.
What the test assesses
The target contains AI features. Assess the surrounding application, data paths, permissions and agent actions, alongside relevant prompt-injection paths.
Name the components, accounts and operations. A chat interface alone does not describe the system behind it.
Prompts, models, retrieval, ingestion and connected tools.
Ordinary users, administrative roles and tenant boundaries.
Record observed impact, propose fixes and retest remediation.
Our published case study describes privileged AI operations accepted from an ordinary authenticated user. The assessment identified one missing authorisation gate across the administration surface.
No. Pixel assesses administration permissions, tenant isolation, data paths and agent authority as well as relevant injection paths. The agreed scope determines which components and operations are tested.
Assess the consequence in the surrounding system. A policy violation, data disclosure and unauthorised tool action are different outcomes. Findings need evidence and severity appropriate to the demonstrated impact.
No. Pixel provides technical security testing, not legal advice, certification or a conformity assessment. Findings can support your governance work; they do not establish compliance by themselves.
PXLSec
Share the features, user roles and connected systems. A senior tester will help define the assessment.
Scope an AI security test Choosing how to deliver testing? Compare automated and specialist approaches.