AI Adversarial Assessment for Security Partners

Extend Your Security Offering into AI Adversarial Assessment

Add whole-system AI adversarial testing and structured security evidence alongside the penetration testing and offensive-security services your clients already buy.

The Partnership

Add the Capability,
Keep the Client Relationship

Provion helps penetration-testing and offensive-security companies extend into AI adversarial assessment without having to build the capability from scratch.

  • Extend Your
    Security Offering

    Add AI adversarial assessment alongside the penetration testing and offensive-security services your customers already buy.

  • Add Capability
    Without Building It

    Access structured AI assessment capability without first creating an entire specialist practice internally.

  • Keep the Client
    Relationship

    Meet emerging AI security requirements while retaining ownership of the customer and wider engagement.

  • Deliver Defensible
    AI Security Evidence

    Turn adversarial testing into structured findings, evidence and impact that fit naturally alongside existing security deliverables.

Own the Engagement,
Not the Build

Specialist AI adversarial assessment behind your security engagement, while you remain the provider your client trusts.

Provion provides the assessment capability, methodology and technical support. You keep ownership of the client, the wider engagement and the commercial relationship.

The Assessment

What We Test, Layer by Layer

Provion assesses the complete AI system, across applications, prompts, guardrails, agents, tools, data, integrations and runtime controls.

  • AI Application & Guardrail Security

    Prompts, input handling, output controls and guardrails, where prompt injection, jailbreaks and policy bypass can emerge.

  • Agentic & Tool-Use Security

    Agents, tool connections, permissions, memory and multi-step workflows that can be manipulated or escalated.

  • Model & Data Security

    Poisoning, leakage, inversion, membership inference, extraction and bias-related weaknesses in the core intelligence layer.

  • AI Supply Chain & Runtime Security

    Third-party components, APIs, dependencies, logging, authentication, rate limiting and runtime monitoring.

The Output

Structured Evidence,
Not Just Test Results

Each finding is documented with the context and evidence needed to support action.

  1. Finding &
    Risk Class

    Clear reference, category and severity.

  2. Affected Component

    The prompt, tool, model, workflow or control involved.

  3. Evidence & Reproducibility

    Inputs, outputs and steps needed to review or reproduce the issue.

  4. Severity &
    Impact

    What the weakness could mean in production.

  5. Framework
    Mapping

    Relevant framework and regulatory mapping where applicable.

Where to Start

Start with One Client and One AI System

Begin with a defined client AI system or workflow where adversarial assessment can add clear security value, then scope and deliver the engagement using Provion's platform and methodology.

  1. 01

    Identify
    the Opportunity

    Choose a client with an AI application, system or workflow that would benefit from adversarial assessment.

  2. 02

    Scope It
    Together

    Define the system boundary, testing priorities and the evidence the engagement needs to produce.

  3. 03

    Deliver
    the Assessment

    Run the assessment using Provion's platform and methodology, with technical support from Provion alongside your engagement.

  4. 04

    Build from the
    First Engagement

    Use the initial assessment to establish where AI adversarial testing fits across existing and future client work.

Partner Call

Bring AI Adversarial Assessment to Your Clients

Tell us about your services and where AI is appearing in your client work. We'll walk through the partner model, how an assessment fits alongside your existing engagements and what a first scope could look like.

Prefer to read first? Download the Partner Overview (PDF)