AI System Audit

Identify personal-data leakage, prompt-injection exposure and model-retirement risk in AI code.

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Timeline
1-3 weeks
Engagement
Fixed-scope audit
Practice
Assure

The situation

AI features shipped fast. Now you need to know where they can leak personal data, follow instructions hidden in user input, or fail quietly when a vendor retires a model.

What we deliver

  1. [01] Scan of every LLM call site in your codebase
  2. [02] Findings ranked P0, P1 and P2 with file and line
  3. [03] Fixes for the highest-risk findings
  4. [04] Re-audit after the fixes land

Evidence

Start here

Have a problem AI might solve?

Describe the outcome you need. Within two working days you receive a written view on whether AI is the right tool, the risks to manage, and a proposed first step.

Request a scoping call [email protected]