Evidence-led assurance

Test the boundaries where AI meets your business.

We combine structured adversarial coverage with manual validation, so your team receives reproducible evidence instead of an unfiltered scan.

Trust boundaries

Risk rarely lives in the model alone.

It appears where data, authority, instructions, and generated output cross into the surrounding application.

01

Prompts

System instructions, user input, and indirect instructions entering through external content.

02

Retrieval

Documents, indexes, permissions, provenance, and untrusted content returned to the model.

03

Roles

What different users can ask, see, influence, and carry across sessions.

04

Tools

What the system can discover, call, change, or send through connected services.

05

Memory

What persists, who can alter it, and whether context crosses users or approved boundaries.

06

Outputs

How generated content reaches browsers, tickets, data stores, and operational workflows.

The workflow

From authorized scope to verified fix.

  1. 01

    Scope

    Document the target, roles, data boundaries, exclusions, rate limits, and written authorization.

  2. 02

    Test

    Run the relevant adversarial scenarios across the application trust boundaries.

  3. 03

    Validate

    Reproduce important behavior manually and remove noise before it becomes a finding.

  4. 04

    Remediate

    Connect the observed control gap to practical mitigation and expected secure behavior.

  5. 05

    Retest

    Repeat focused test cases to verify agreed fixes against the original evidence.

What changes

A clearer decision, not a louder risk report.

Priorities become explicit.

Leadership can see which validated behaviors matter and why.

Engineering gets a path forward.

Each important finding connects evidence to mitigation and expected secure behavior.

Coverage stays honest.

The report distinguishes what was tested, what was excluded, and where assumptions remain.

Why this approach

Coverage and judgment belong together.

Scroll horizontally to compare

CapabilityAspexa assessmentScan-only reviewInternal ad-hoc testing
Application-specific scopeyeslimitedvariable
Structured automated coverageyesyesvariable
Manual validationyesnovariable
Payloads and reproducible evidenceyeslimitedvariable
Mitigation guidanceyeslimitedvariable
Focused retestyesnovariable

Start with the boundary

Define the boundary before you test it.

Bring one AI workflow. We will help determine whether the pilot is the right fit.

Book a scope call