Technology / LLM applications

Prompt Injection Security Assessment

Evaluate direct and indirect prompt-injection paths across LLM applications, retrieval pipelines, agents, tools, and connected data sources.

01 / THE REVIEW QUESTION

Start with the system, data, and decision—not a generic checklist.

Prompt injection becomes materially more dangerous when model output can reach sensitive information, invoke tools, modify state, or communicate externally. Testing therefore has to follow the full application and agent architecture rather than the model prompt alone.

02 / Questions to answer

What a useful assessment should establish.

01

Can untrusted user or retrieved content override intended instructions?

02

Can injected instructions reach tools, secrets, private data, or privileged actions?

03

Are output handling and authorization controls independent of model compliance?

04

Can suspicious prompt/agent activity be logged, reproduced, and contained?

03 / Assessment scope

What Ayliea examines.

Exact procedures are confirmed in writing before work begins. Technical testing is performed only when explicitly scoped and authorized.

01Direct and indirect injection testing when authorized

02Retrieval and external-content trust boundaries

03Tool and function-call authorization

04Sensitive-information disclosure paths

05Logging, guardrail, and containment evidence

04 / OUTPUT

Evidence and findings another reviewer can follow.

The deliverable separates what was observed or supplied from what was represented, unavailable, untested, or outside scope. That keeps the conclusion useful without overstating what the evidence proves.

Reproducible findings for tested paths

Affected data/tools and impact narrative

Evidence and testing limitations

Prioritized mitigations

Retest scope when included

05 / PRIMARY SOURCES

Built around the requirements and guidance that actually matter.

NIST — Generative AI ProfileNIST — AI Agent Security Research

06 / SCOPE THE WORK

Have a real system or review question in mind?

Bring the AI system, the data it touches, the review trigger, and the evidence you already have. Ayliea will determine whether a Review, Assessment, or broader scope fits.