AI/ML Application Penetration Testing

Applications based on artificial intelligence (AI) and machine learning (ML) bring unique cybersecurity challenges. Our penetration testing services are designed to uncover vulnerabilities in AI models, APIs, and the underlying application architecture.

Our assessments are based on OWASP AI/LLM Top 10 recommendations and include thorough validation of model security, input/output handling, and risk exposure from external integrations.

Our AI/LLM Security Testing Covers:

Model Vulnerabilities

We identify risks such as prompt injection, inference attacks, training data leakage, and weak authentication methods to prevent AI model misuse.

Integration Security

We assess the security of third-party AI integrations, including API protection, input/output validation, and permissions management to reduce exposure to external threats.

Adversarial Attack Simulation

We simulate adversarial scenarios such as evasion, model inversion, data poisoning, and prompt leakage to verify model robustness under attack.

Benefits for Your Organization

Identify vulnerabilities in your AI models before production deployment
Protect critical decision-making and training data pipelines
Evaluate model resilience against adversarial manipulation
Ensure secure integration of AI services via API
Compliance with OWASP Top 10 for LLM/AI recommendations

Testing Process

Architecture and access analysis
Testing model inputs, outputs, API behavior, and decision logic
Simulating high-risk scenarios in a secured testing environment
Delivering a detailed technical report with remediation guidance

Innovative Models Require Advanced Security

If your product or platform incorporates artificial intelligence, verifying its security is critical. Haxoris ensures your AI components are as secure as the rest of your infrastructure.