AI Security Testing

Secure Your AI Applications Before Attackers Learn How to Exploit Them

Artificial Intelligence is transforming how organisations interact with customers, automate business processes and make decisions. However, applications powered by Large Language Models (LLMs) introduce new security risks that traditional penetration testing does not fully address. AI security testing has increased in importance with heightened AI use.

An AI assistant may have strong authentication controls and secure infrastructure, yet remain vulnerable to prompt injection, data leakage, unauthorised actions or manipulation through conversational inputs.

7Camber’s AI Security Testing service helps organisations identify and address these emerging risks. We assess the security of AI-powered applications, chatbots, AI assistants, autonomous agents and decision-support systems to determine whether attackers can influence model behaviour, access sensitive information or abuse integrated business functions.

Our assessments provide organisations with a clear understanding of their AI security posture and practical guidance for strengthening defences before deployment or production use.

What Is AI Security Testing?

AI Security Testing is a specialist security assessment designed to evaluate how artificial intelligence systems behave when exposed to malicious, unexpected or manipulated inputs.

Unlike conventional penetration testing, AI Security Testing focuses on weaknesses unique to Large Language Models and AI-enabled applications.

The goal is to determine whether an attacker can:

  • Manipulate model behaviour
  • Circumvent safeguards and restrictions
  • Extract sensitive information
  • Abuse integrated tools and plugins
  • Perform unauthorised actions
  • Influence business decisions
  • Exhaust AI resources
  • Exploit weaknesses in AI supply chains

The assessment evaluates both the AI model and the wider application ecosystem that supports it.

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Why Is AI Security Testing Important?

Organisations increasingly trust AI systems with sensitive business operations, customer interactions and decision-making processes. As these systems become more capable, so do the consequences of compromise.

A successful attack against an AI-powered application could result in:

  • Exposure of confidential information
  • Disclosure of customer data
  • Unauthorised transactions
  • Manipulated business decisions
  • Reputational damage
  • Regulatory implications
  • Abuse of connected systems and services

Traditional security assessments rarely evaluate these AI-specific attack vectors. Dedicated AI Security Testing helps organisations understand and manage these risks before they become security incidents.

What We Test

Prompt Injection & Model Manipulation

Prompt injection remains one of the most significant threats facing AI-powered applications. Our testers assess whether users can manipulate an AI model into ignoring security controls, bypassing restrictions or performing unintended actions.

Testing includes:

  • Direct prompt injection attacks
  • Jailbreak techniques
  • Role-playing attacks
  • Indirect prompt injection
  • Prompt leakage attempts
  • System instruction disclosure testing
  • Model manipulation exercises

We determine whether the AI consistently follows intended controls, even when subjected to adversarial prompting techniques.

Insecure Output Handling

AI-generated content can introduce security vulnerabilities if applications trust or process model output without appropriate validation. 7Camber evaluates how generated content is handled throughout the application.

Testing includes:

  • Cross-site scripting (XSS) via AI-generated output
  • HTML and script injection
  • Unsafe content rendering
  • Malicious code generation
  • Abuse of downstream workflows

The objective is to ensure that AI-generated responses cannot become a pathway for compromise.

Data Privacy & Sensitive Information Disclosure

Many organisations integrate AI with proprietary business data, internal knowledge repositories and customer information. Our consultants assess whether attackers can extract information that should remain protected.

Testing includes:

  • Sensitive information disclosure
  • Personal data exposure
  • Secret and credential leakage
  • Training data extraction attacks
  • Membership inference testing

Where appropriate, we also evaluate controls designed to prevent unauthorised access to internal knowledge sources and connected data stores.

AI Agents, Plugins & Tool Security

Modern AI applications increasingly interact with APIs, databases, file systems and business applications. These integrations significantly expand the attack surface. We assess whether an attacker can manipulate the AI into abusing available tools or exceeding its intended authority.

Our testing covers:

  • Plugin security
  • Tool permissions
  • API integrations
  • Authentication controls
  • Authorisation mechanisms
  • Function calling security
  • Workflow abuse scenarios

The objective is to verify that integrated capabilities remain appropriately restricted and governed.

Model & Supply Chain Security

Securing the AI model itself is only one part of protecting an AI-powered application. The wider AI ecosystem may include multiple third-party components, frameworks and supporting technologies.

7Camber evaluates risks associated with:

  • AI frameworks
  • Machine learning libraries
  • Vector databases
  • Model supply chains
  • External AI services
  • Dependency vulnerabilities

We identify weaknesses that could undermine the security of the overall solution.

Excessive Agency & Business Logic Testing

As AI systems become more autonomous, organisations must establish clear controls around what actions AI is permitted to perform. We assess whether users can manipulate AI systems into:

  • Executing unauthorised functions
  • Circumventing approval processes
  • Triggering privileged actions
  • Altering business workflows
  • Producing misleading outputs with confidence

This area of testing is especially important where AI influences operational, financial or customer-facing decisions.

AI Resilience & Availability

The availability of AI services is often critical to business operations. Our consultants assess whether an attacker can degrade or deny service through abuse of AI functionality.

Testing includes:

  • Model denial-of-service scenarios
  • Resource exhaustion attacks
  • Context window abuse
  • Excessive token consumption
  • Recursive prompt attacks

We evaluate whether protective controls can withstand sustained adversarial use.

Typical Systems We Assess

7Camber can assess a wide range of AI-enabled technologies, including:

  • AI chatbots
  • Customer service assistants
  • Internal knowledge assistants
  • LLM-powered web applications
  • AI-enabled mobile applications
  • AI agents
  • Automated decision systems
  • AI-powered SaaS offerings
  • Custom LLM implementations
  • AI-integrated APIs

Our Methodology

Our AI Security Testing methodology combines established penetration testing techniques with modern AI-focused security practices. Each assessment is tailored to the application’s design, use case and threat profile.

Activities may include:

  • Prompt injection testing
  • Adversarial prompting
  • Data leakage assessment
  • Access control verification
  • Tool and plugin security testing
  • Business logic testing
  • Model behaviour analysis
  • Supply chain security review
  • Infrastructure security verification

All testing is performed by experienced security consultants using a risk-based approach designed to identify realistic attack paths.

Deliverables

Upon completion of the assessment, clients receive:

Executive Summary

A high-level overview suitable for management and stakeholders, explaining overall risk exposure and remediation priorities.

Technical Security Report

A comprehensive report detailing:

  • Vulnerabilities identified
  • Risk ratings
  • Technical findings
  • Proof-of-concept evidence
  • Business impact
  • Remediation recommendations

Benefits of AI Security Testing

An AI Security Assessment can help organisations:

  • Identify AI-specific vulnerabilities before deployment
  • Protect confidential information and intellectual property
  • Validate AI governance controls
  • Improve trust in AI-enabled services
  • Reduce the risk of unauthorised actions
  • Strengthen regulatory and compliance readiness
  • Secure integrations with internal systems
  • Improve resilience against emerging AI threats

Why Choose 7Camber?

7Camber combines extensive penetration testing expertise with a deep understanding of emerging AI security risks. Our consultants assess not only the underlying application but also the behaviour of the AI itself, helping organisations understand how attackers may attempt to manipulate, abuse or compromise AI-powered systems.

We focus on realistic attack scenarios, practical remediation guidance and measurable risk reduction, helping organisations deploy AI technology with confidence.

Request an AI Security Assessment

Whether you are deploying a customer-facing chatbot, developing an AI-powered SaaS platform, implementing an internal AI assistant or integrating Large Language Models into business workflows, 7Camber can help you understand and manage the associated security risks.

Contact 7Camber to discuss your AI Security Testing requirements and receive a tailored assessment proposal.

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