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OFFENSIVE SECURITY

AI Security Testing

Your AI can take action. Make sure it stays within bounds.

AI penetration testing and red teaming for applications, RAG workflows, and agents. Evaluate data access, tool permissions, and safeguards within an agreed scope.

01 / THE CHALLENGE

Helpful output is not proof of a secure workflow.

  • 01 You are launching an AI assistant or agent
  • 02 Your AI can access customer data or take actions
  • 03 You need evidence that authorization boundaries work

An AI workflow can follow the wrong instructions with legitimate credentials. Prompts alone do not enforce authorization. Examine the full path from untrusted content to data access and tool execution.

THIS IS A GOOD FIT WHEN

02 / WHAT YOU RECEIVE

Expertise you can put to work.

Executive risk summary

Business implications, demonstrated exposure, and recommended priorities.

Evidence-backed findings

Reproducible scenarios where feasible, affected components, observed behavior, and testing limitations.

Practical remediation guidance

Recommendations for permissions, data isolation, approval checks, and supporting application controls.

Results walkthrough and follow-up plan

Review findings with your team and define any retesting scope and window in the proposal. Your proposal confirms the deliverables, scope, responsibilities, and schedule for your engagement.

A clear handoff for the people making decisions and the people delivering the work.

03 / HOW WE WORK

A clear path. From start to next steps.

Map the workflow

Agree the use case, models, data sources, tools, user roles, environments, and boundaries.

Design the scenarios

Select relevant misuse scenarios, safe test data, approvals, and stop conditions.

Test the boundaries

Evaluate prompt injection, unauthorized data access, tool misuse, and conventional application weaknesses within scope.

Explain and validate

Discuss evidence and priorities. Agree how remediation will be verified and what remains untested.

CHOOSE THE RIGHT DEPTH

Three ways to start.

Architecture review

Examine data flows, permissions, trust boundaries, and approval controls before selecting changes or deeper tests.

AI penetration testing

Test an agreed application or workflow for exploitable weaknesses across AI behavior and supporting controls.

Adversarial scenario testing

Evaluate realistic misuse scenarios across multiple steps, including tool actions, memory, and retrieved content. Our team includes an OffSec AI Red Teamer (OSAI) certified professional. Each engagement is tailored to the agreed workflow and business objective. Read our guide to agentic AI security Download the AI security testing brochure (PDF)

A STRONG START

Bring the context. We’ll shape the plan.

A useful starting point

A workflow diagram, tool inventory, data sources, user roles, and your key concerns. An early draft is enough to begin.

The right people

An application owner, an AI or engineering lead, and the person responsible for data access and security.

What shapes the engagement

The number of workflows, integrations, user roles, environments, and the depth of adversarial scenarios shape the work. We agree timing after reviewing these factors.

You do not need every answer before getting in touch. These details help us scope the work.

SEE THE SHAPE OF THE WORK

From observation to next action.

An agent attempts an unapproved data transfer

Fictional scenario. Not a client result or a completed assessment.

A short example of how we make findings useful. The final format and depth depend on your agreed engagement.

04 / BEFORE WE BEGIN

A little clarity. A better start.

What can you test? +
The scope can include AI applications and chatbots, RAG and knowledge access, agent tools, persistent memory, supporting APIs, and relevant infrastructure.
Do we need a production deployment? +
No. A staging environment with representative permissions, integrations, and safe test data can support testing. We agree what the environment can demonstrate.
Is this different from a normal penetration test? +
AI testing adds adversarial scenarios involving retrieved content, model behavior, and agent actions. Authentication, tenant isolation, APIs, and other conventional controls remain part of the agreed scope.
Does passing make our AI safe? +
No. Results reflect the scenarios, configuration, access, and time tested. Model or workflow changes can alter behavior, so limitations and residual risks are documented.
Is retesting included? +
Retesting availability, covered findings, and the window are specified in your proposal. We agree follow-up before the engagement begins.
What AI security experience does your team have? +
Our team includes an OffSec AI Red Teamer (OSAI) certified professional. We scope the work around your application and business risks.

CONNECTED EXPERTISE

Build on the right foundation.

Penetration Testing

See how an attacker could turn a technical weakness into a business problem.

Tabletop Exercise

Give your team a realistic rehearsal before an incident puts decisions under pressure.

Purple Teaming

Bring offensive testing and defensive observation into one collaborative exercise.

LET’S DEFINE THE RIGHT ENGAGEMENT

Start a conversation. Make your next move clearer.

  • 01 We review your priorities.
  • 02 We discuss the right scope with you.
  • 03 You receive a clear proposal before work begins.

What happens next

Tell us what you need.

A clearer picture. A practical next step. Tell us what you’re working on. We’ll use your details to respond to your request. Please leave out passwords and sensitive incident evidence. Privacy policy.

Tell us what prompted your search, what matters to your business, and any deadline. We’ll help define the right scope.

START A CONVERSATION

rimpianto / 16Offensive Security

Your next move

Let’s make progress.

Tell us where you are. We’ll help define what comes next.

Start a conversation