AI is transforming industries, accelerating innovation and redefining human-machine
interaction, but as AI systems become integral to business operations, new risks are
emerging.
From prompt injection attacks to data leakage and adversarial manipulation, AI systems present unique and evolving attack surfaces that traditional security practices weren’t designed to manage.
Our AI security testing services have been created to probe, stress-test, and harden your models and infrastructure. The Fortis Cyber® team will simulate real-world adversarial scenarios, identify systemic vulnerabilities, and deliver actionable insights to help your organisation deploy AI responsibly, securely, and with confidence.
AI Security Assessment
Prevent Business Logic Abuse
Reduce the risk of attackers manipulating AI behaviour to bypass workflows or extract sensitive internal data.
Identify Hidden AI-Specific Threats
Reveal risks unique to AI systems such as prompt injection, data leakage, and unauthorised tool use.
Maintain Responsible AI Compliance
Ensure AI usage aligns with emerging regulations, data protection laws, and internal policies.
What are the benefits?
Strengthen Customer & Stakeholder Trust
Show a proactive commitment to securing AI systems and safeguarding user information.
Improve AI Governance & Risk Management
Use findings to enhance AI governance, access controls, and input/output filtering strategies.
Validate Tool & Plugin Security
Assess third-party integrations and tools (e.g. API access, file uploads) for potential abuse or misconfiguration.
The primary goal
To identify, evaluate, and mitigate security risks associated with the integration and deployment of artificial intelligence systems within applications and business environments.
Simulating adversarial use cases & reviewing system configurations
The assessment ensures AI components are securely implemented, responsibly governed, and resilient against emerging threat vectors unique to AI technologies.
Assessment focus
Uncovering vulnerabilities such as prompt injection, data leakage, unauthorised access, model manipulation, and abuse of AI-driven functionalities
that could compromise the confidentiality, integrity, or availability of the underlying systems or data.
The assessment requires...
both architectural and design information for threat modelling, and AI component access for security testing. Access to the environment, authenticated or otherwise would be required. Additionally, information about and access to any linked API should be provided for context and further testing.
Assessment Overview
Our specialised AI security testing services not only focus on technologies such as LLM-based applications, AI agents, and autonomous systems, but also the associated APIs, user interfaces, monitoring tools, access controls, and integration layers; rigorously assessing their resilience against cyber threats.
Assessment Elements
Identify Hidden AI-Specific Threats:
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Analyse potential misuse cases (e.g., prompt injection, data exfiltration)
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Map trust boundaries and AI-specific attack surfaces
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Evaluate access control and authorisation models around the AI system
Prompt Injection and Input Manipulation Testing:
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Test for direct and indirect prompt injection vulnerabilities
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Attempt jailbreaks and content policy bypasses
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Assess handling of adversarial input or ambiguous queries
Model Behaviour and Abuse Analysis:
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Evaluate the potential for model misuse (e.g., generation of sensitive info or malicious content)
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Test for unintended memorisation or leakage of training data
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Validate content filtering, safety mechanisms and response consistency
API and Endpoint Security Review:
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Assess authentication and rate-limiting of AI-related endpoints
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Check for exposure of system prompts, internal functions, or debug info
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Review logging, telemetry, and monitoring configurations
Data Handling and Privacy Review:
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Evaluate data sent third-party LLM APIs (e.g., OpenAI, Azure OpenAI)
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Identify risks of sensitive data retention or cross-tenant leakage
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Check anonymisation, redaction, or preprocessing safeguards
Adversarial and Red Team Scenarios:
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Simulate real-world misuse (e.g. phishing automation, policy evasion)
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Assess system behaviour under fuzzed, multi-step or chained inputs
Our Credentials
The Fortis Cyber® AI security testing services are delivered by security professionals with significant industry experience, who are skilled at identifying and mitigating vulnerabilities in your models, data pipelines, and AI-driven applications before adversaries can exploit them.
Fortis Cyber® is a CREST accredited Penetration Testing and Vulnerability Assessment company and our team holding multiple certifications awarded by bodies including CREST, Offensive Security, and the Tiger Scheme.
We complement this focused knowledge with our National Cyber Security Centre (NCSC) Certified Cyber Professionals, to provide a valuable wider viewpoint to penetration testing assurance.
Get in touch for more information or to chat with one of our experts.
