Is Your AI/LLM Really Secure?
AI and Machine Learning models introduce unique attack surfaces from prompt injections in Large Language Models (LLMs) to data poisoning in training datasets.
Our AI/ML penetration testing identifies vulnerabilities across models, datasets, and deployment infrastructure, helping you secure sensitive data, improve resilience, and build reliable AI systems.
AI/ML Pentesting Benefits
Our Approach
We leverage emerging standards and industry best practices to assess AI/ML models, data pipelines, and system integrations, delivering robust compliance-ready security assessments.
Model Architecture Analysis
Identify weaknesses in model design, parameters, and access controls.
Training Data Security
Detect data poisoning, leakage, and privacy violations across datasets and pipelines.
Adversarial Testing
Evaluate AI deployment environments, APIs, vector databases, and cloud integrations for security weaknesses.
Infrastructure Security
Demonstrate to stakeholders, auditors, and regulators that your defenses are tested, validated, and aligned with industry standards.
LLM Security Testing
Assess security risks in Large Language Models, including chatbots, RAG pipelines, and multi-modal systems.