AI Security Testing

Specialized Security Assessments and Advisory For Your AI/ML Systems.

Why Have an AI System Security Test?

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Identity AI-Specific Threats

Discover security flaws in your AI implementations, including prompt injection attacks and adversarial inputs.

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Protect Sensitive Data

Safeguard customer data and intellectual property from unauthorized access and AI-driven exposure.

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Ensure Compliance

Meet emerging AI governance requirements and ensure responsible AI deployment.

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LLM Security & Architecture Assessment

Comprehensive security assessment of large language model implementations, from architecture to deployment. Our testing methodology covers OWASP Top 10 for LLMs, prompt injection vulnerabilities, supply chain security, and model governance controls.

  • OWASP Top 10 for LLMs and prompt security
  • Data privacy and security validation
  • Model output sanitization and filtering
  • Fine-tuning and governance controls
  • Access and authentication review
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RAG System
Security

End-to-end security assessment of Retrieval-Augmented Generation systems, ensuring secure data handling and reliable outputs. We validate your entire RAG pipeline from data ingestion to response generation.

  • Vector database and embedding security
  • Data retrieval and chunking pipeline testing
  • Query/response accuracy controls
  • Information leakage prevention
  • Response filtering and validation
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AI Infrastructure
Security

Comprehensive security assessment of AI/ML infrastructure and deployment environments, ensuring robust protection of your model serving stack and training pipelines.

  • Cloud infrastructure security review
  • Model serving endpoint protection
  • Training pipeline security controls
  • Model monitoring and versioning
  • Scaling and performance security
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AI Agent & Integration
Security

In-depth security assessment of AI agents, custom GPT implementations, and third-party AI integrations. We ensure secure orchestration and compliant operations across your AI ecosystem.

  • Enterprise agent & orchestration testing
  • Custom GPT action security
  • Third-party AI integration review
  • Tool access control validation
  • Output verification and filtering

OWASP Top 10 LLM  Security Risks

Each application penetration test covers testing from the OWASP Top 10 & the latest OWASP testing guide for application security risks. Other frameworks such as MITRE ATT&CK, NIST and the testers experience are used.

LLM01:2025
Prompt Injection
LLM02:2025
Sensitive Information Disclosure
LLM03:2025
Supply Chain
LLM04:2025
Data and Model Poisoning
LLM05:2025
Improper Output Handling
LLM06:2025
Excessive Agency
LLM07:2025
System Prompt Leakage
LLM08:2025
Vector and Embedding Weaknesses
LLM09:2025
Misinformation
LLM10:2025
Unbounded Consumption

What You'll Receive

The final penetration test report will consist of a technical document with the following sections:

Executive Summary

High-level overview of findings for management and stakeholders.

Scope &  Methodology

Approved scope, exclusions, limitations, tooling and methodology used.

Vulnerability Summary

List of vulnerabilities based on overall risk, likelihood and impact.

Detailed technical findings with proof-of-concepts and evidence.

Remedation Guidance

Guidance on how to replicate and remediate the vulnerability.

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Additional Details

Addtional details such as retest results, or attack narrative or diagrams (when applicable).

Ready to Assess Your Risk?

Get a custom quote for your application security assessment. We'll help you understand your real risk exposure and strengthen your security posture.

Request Your Quote

We'll respond within 24 hours with a detailed proposal.
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Why Choose Us?

  • 100% Canadian team - no offshoring
  • Manual testing by certified professionals
  • Over 10 years of application security experience
  • Clear, actionable reporting without hype
  • Based in Toronto, all testing performed locally
  • Focus exclusively on application security