Is a specialized service that evaluates the security, reliability, and robustness of artificial intelligence systems using a methodology based on the OWASP AI Testing Guide. This structured approach focuses on identifying vulnerabilities and weaknesses in AI and machine learning models to ensure they operate securely, ethically, and in compliance with applicable regulations and standards.
Our testing approach covers the full AI lifecycle — from data ingestion and model training to deployment and monitoring — and includes security, privacy, explainability, and adversarial resilience assessments.
Our Methodology
AI Asset and Threat Mapping
We identify all AI components, data flows, and potential threat vectors, mapping them against OWASP’s AI-specific threat categories.
Model Security Testing
We assess the quality, provenance, and integrity of training data; test model robustness against adversarial inputs; and evaluate the risk of data leakage through model outputs.
Explainability and Accountability Validation
We verify that the AI system provides interpretable results, maintains decision logs, and meets transparency requirements for stakeholders and regulators.
Post-Deployment Security
We implement continuous testing procedures, anomaly detection, and governance controls to ensure the AI system remains secure and compliant throughout its lifecycle.
