AI Security

AI Security Testing

Assess AI applications, agents and integrations for data exposure, unsafe actions and control failures.

Service Overview

A focused technical assessment with clear outcomes

AI systems introduce security questions that extend beyond traditional application testing. NetPhantom evaluates how AI applications and agents interact with users, data, tools and connected systems to identify conditions that could lead to unauthorized disclosure, unintended actions or misuse.

Every engagement begins with an agreed scope, written authorization and clear rules for testing. The exact activities depend on the systems, objectives and constraints established with the client before work begins.

Areas of Focus

What we assess

Testing is tailored to the engagement. Relevant areas can include the following.

Prompt handling and instruction boundariesIncluded where relevant to the agreed scope, environment and engagement objectives.
Sensitive data exposure and retrieval behaviorIncluded where relevant to the agreed scope, environment and engagement objectives.
Agent permissions and tool accessIncluded where relevant to the agreed scope, environment and engagement objectives.
Authorization around connected systemsIncluded where relevant to the agreed scope, environment and engagement objectives.
Unsafe actions and unintended workflowsIncluded where relevant to the agreed scope, environment and engagement objectives.
Application controls surrounding the AI componentIncluded where relevant to the agreed scope, environment and engagement objectives.
AI SECURITY TESTING METHODOLOGY

How AI systems are evaluated

AI security testing begins with the system architecture and permissions, then examines how models, agents, data sources and connected tools could be misused.

01
Architecture and scope

Define the AI use case, model or agent, connected applications, data sources and authorized boundaries.

02
Permission mapping

Map user roles, agent permissions, tool access, sensitive actions and trust boundaries.

03
Threat modelling

Identify realistic misuse scenarios involving prompts, data, identity, integrations and automated actions.

04
Adversarial testing

Test relevant scenarios such as prompt manipulation, sensitive data exposure and unauthorized tool use.

05
Impact validation

Carefully determine what a successful abuse case could expose, change or trigger within the approved environment.

06
Controls and retest

Document findings, recommend safeguards and identify scenarios that should be tested again after remediation.

Reporting and Deliverables

Clear findings your team can act on

Reporting is designed for both technical teams and business decision makers. Findings are supported by context and organized so remediation can be prioritized.

Executive and technical findings
AI specific abuse scenarios
Evidence supporting validated issues
Data and authorization risk analysis
Practical control recommendations
Retesting after remediation
Remediation and Validation

From finding to corrective action

NetPhantom does not treat delivery of the report as the end of the conversation. Findings are explained, questions are addressed and remediation priorities are clarified. Where appropriate, retesting can be used to confirm that corrective actions have addressed the validated issue.

Start With a Conversation

Discuss AI Security Testing

Book a complimentary 30 minute consultation to discuss your environment, concerns and objectives.

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