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MAX / AI SECURITY TESTAPPROACH
AI inputs and integrations assessed with specialist review.

Consulting

AI Security Test

Assess the security risks of your AI systems.

Artificial Intelligence systems — chatbots, assistants, agents, and generative models (LLMs) — introduced new kinds of risk that traditional security testing does not cover. A chatbot can be tricked into revealing confidential data, following malicious instructions hidden inside text, or taking actions it should refuse.

Talk to a specialist

01 / HOW WE WORK

Our approach

The AI Security Test evaluates these behaviors. We check whether your AI resists manipulation, protects the data it can access, and stays within what it was authorized to do.

We test AI and machine learning systems — LLMs, chatbots, agents, and generative models — using the OWASP Top 10 for LLM Applications and MITRE ATLAS as references. Every test runs within an authorized scope, with evidence reviewed by specialists.

TECHNOLOGY WITH HUMAN REVIEW

AI in the workflow.
Specialists in validation.

How AI supports this service

Max Security uses artificial intelligence to optimize the AI test itself — we use AI to test AI, extending coverage far beyond what would be feasible by hand.

  • Attack generation: AI creates variations of malicious prompts and jailbreak scenarios at scale.
  • Coverage: AI runs thousands of test combinations automatically.
  • Classification: AI groups suspicious responses to speed up review.

Human control first: our specialists judge the real risk of each behavior, in the context of your application. AI extends coverage; the final assessment is human.

02 / SERVICE SCOPE

What we test

01

Prompt injection

instruction manipulation and tool/plugin abuse.

02

Data leakage

exposure of sensitive information or system context.

03

Jailbreaks

bypassing safeguards and usage rules.

04

Data poisoning

contamination of training or context data.

05

Model extraction and inversion

attempts to reconstruct data or the model itself.

06

Out-of-scope behavior

actions and responses the AI should not produce.

07

Exploitable bias

patterns that can be abused.

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03 / ENGAGEMENT OUTPUTS

What you receive

  • A report with identified risks and evidence for each behavior.
  • Severity and impact ratings.
  • Practical recommendations for safer AI adoption.

04 / YOUR COMPANY

Who it's for / when to engage

  • Companies that have launched (or will launch) chatbots, assistants, or AI agents.
  • Products that connect LLMs to internal data or to tools that take actions.
  • Teams that must demonstrate AI security to customers, partners, or regulators.

05 / FREQUENTLY ASKED QUESTIONS

Your questions, answered.

Do you test any AI model?

We assess applications that use AI — your own or built on third-party models — including the integrations around the model (data, tools, plugins).

Do you need access to the internal model?

Most testing is done through the application interface. Additional access, when useful, deepens the test and is agreed within the scope.