Norveth · Worldwide

AI systems & LLM security review

Find out how your AI product breaks before your users do.

The problem

Why this matters for your business

AI features and LLM-powered applications are frequently vulnerable to prompt injection, system prompt extraction, indirect injection through external content, and unauthorized agent tool execution.

What we do

Our concrete approach

We perform rigorous security reviews of your AI systems, testing prompt defenses, context data boundaries, tool calling permissions, and data leakage, delivering an actionable remediation report.

Deliverables

What is included

Every item is tested and handed over with written documentation.

Direct and indirect prompt injection resistance testing (document and tool outputs)
System prompt extraction and contextual confidential data leakage analysis
Agent tool-abuse testing: verifying authorization boundaries and privilege escalation defenses
Detailed written security findings report with reproduction steps, severity ratings, and exact code fixes
Follow-up video walkthrough with your engineering team to verify remediations

Boundaries & dependencies: We test only against systems you own or have explicit written authority to test. Scope is locked prior to engagement.

Delivery timeline

Written report delivered within 5 business days.

We work with firm written delivery dates. If we need assets or logins from your team, the clock starts once those are received.

Transparent fixed price

From $400 (fixed quote based on application complexity)

What you see is what you pay. No unexpected billable hours, no hidden setup fees, and zero vendor lock-in.

Frequently asked questions

Specific details about our LLM security review process.

What do you need from us to conduct the review?

System architecture diagrams, system prompt definitions, tool schema documentation, and access to a staging or testing deployment.

Do you sign non-disclosure agreements (NDAs)?

Yes. Mutual confidentiality and authorized testing agreements are signed before access is shared.

How do you classify vulnerabilities?

We rank findings according to CVSS criteria adapted for LLM vulnerabilities (Critical, High, Medium, Low) with concrete reproduction scripts.

Can you re-test after our team fixes the issues?

Yes. One re-verification pass of patched findings is included in the review scope.

Ready to get started on AI systems & LLM security review?

Email us with your website or project details. Within 48 hours you will receive a confirmed scope and start date.

Start this project or request a free website check →